KR100493714B1 - Autonomic function analyzer - Google Patents

Abstract

The present invention relates to an autonomic neurological examination apparatus using a heart rate variability with improved accuracy.

The autonomic neurological examination apparatus of the present invention includes a signal detection unit for detecting an electrocardiogram signal or an oxygen saturation signal from a body of a subject; An A / D converter for converting the output signal of the signal detector into a digital signal; A peak detector for detecting an R point and an RR interval of an ECG signal from an output signal of the A / D converter; Difference between an average heart rate (mean HRT), a standard deviation of total RR intervals (SDNN), and adjacent RR intervals from an output signal of the peak detector, and a noise removal unit for removing the noise from the output signal of the peak detector; A time analyzer having a time calculator for calculating a square root of the mean of the squared values (RMSSD), successive RR intervals (SRD), and a compression index (PI); Very low frequency band (VLF) strength (PSD), low frequency band (LF) strength (PSD), high frequency band (HF) strength (PSD), 5 minutes total strength (TP), low frequency from the output signal of the noise reduction unit Normalized LF of band, normalized HF of high frequency band, normalized HF of high frequency band, LF / HF ratio of low frequency high frequency, emotional state (ES), mental stress index (MSI) A frequency analyzer; A data input unit configured to temporarily store and input subject information including gender and age; A database storing data for setting a reference range according to gender, age and parameters of Asians; And a parameter analyzer for comparing whether the parameters output from the time analyzer and the frequency analyzer are within the reference range.

Description

Autonomic Function Analyzer {Autonomic Function Analyzer}

The present invention relates to an autonomic examination device, and more particularly, to an autonomic examination device using a heart rate variability with increased accuracy.

Heart rate variability (hereinafter referred to as HRV) is a periodic change in heart rate over time, which is an important key in tracking the homeostatic control mechanisms of the autonomic nervous system for factors in the body and the external environment.

The autonomic examination device is a device that visualizes the autonomic nervous response of the human body to stress by analyzing minute changes in the heartbeat according to the heart rate variability and checks the current state of health and psychophysiological stability.

Autonomic nerves are nerves that control the function of the internal organs and blood vessels, and are divided into sympathetic nerves and parasympathetic nerves. Since this autonomic nerve is involved in the smooth functioning of the five viscera and hormones of the human body, stable antagonism of the autonomic nerve is an absolute factor in maintaining a healthy and comfortable mind and body. The autonomic nerve has its center in the hypothalamus of the brain, and the peripherals in all organs and tissue organs in the body, so it manages all the activities of the five intestines, which is important for vital activities such as breathing, circulation, digestion, endocrine function, and metabolism. It is in charge of function.

Autonomic nervous system activity and heart rate movements are closely related. Therefore, autonomic nervous system activity can be estimated by measuring heart rate variability. In particular, the method of analyzing autonomic nervous system activity by measuring heart rate variability has an advantage of being excellent in reproducibility and non-invasive test method.

More specifically, heart rate is determined by the effect of the autonomic nervous system on the inherent spontaneity of pacemaker cells in the nodule. Magnolia are controlled by both sympathetic and parasympathetic nerves, and their conflicting effects are balanced to determine heart rate. Thus, short-term heart rate variability is determined by respiration, baroreceptor, chemoreceptor, autonomic nervous system activity. Long-term heart rate variability also contributes to body temperature, metabolic rate, and sleep cycles, as well as respiratory, seizure, chemoreceptor, and autonomic nervous system activity.

HRV is related to the interaction between the sympathetic and parasympathetic nerves affecting the nostril, which does not mean the change in the recorded heart rate over time, but rather the heart rate and RR interval (from R point to R point of ECG). Reflects fluctuations in the interval). That is, it means a minute variation between one cardiac cycle and the next.

In general, heart rate variability is measured using electrocardiogram (hereinafter referred to as ECG) or oxygen saturation (hereinafter referred to as PPG). The heartbeat interval is obtained by detecting peaks in the waveforms on the ECG or oxygen saturation signal and measuring the intervals between the peaks. The measured heartbeat intervals constantly change around 800 msec. When the heart rate is measured in real time, it can be expressed as the real-time heart rate per minute by the formula, and the graph of the change in the heart rate calculated from the measured heart rate is called HRT tachogram. do.

Figure 1a is an example of heart rate changes in normal people, Figure 1b is an example of heart rate changes in a person in a diseased state.

Figures 1a and 1b records the change in heart rate during the recording time, the instantaneous heart rate is calculated from the peak-to-peak interval on the ECG or PPG, that is, the RR interval or NN (Normal to Normal) interval is measured from that A graph as shown in FIG. 1B is drawn.

In the healthy person of FIG. 1A, the graph is irregular and complicated, but in the person in the disease state of FIG. 1B, minute changes in the heartbeat are very monotonous. In other words, HRV reduction means that the complexity of the dynamic change in heart rate is reduced, which means that the body's ability to adapt to the ever-changing environment is reduced. It is possible to estimate the mechanism of regulating the homeostasis of the autonomic nervous system from the minute changes of the pulsating heart.The healthy and highly controllable person can react to the blood oxygen level, body temperature, and blood pressure so that the physiological balance can be reached in a short time. If you are in a state, you will not be able to reach your physiological balance.

HRV analysis methods are roughly classified into time domain analysis and frequency domain analysis.

Time domain analysis is a technique that statistically processes the RR intervals between same-sex heartbeats, which typically analyzes data for 24 hours, but does not include cardiac and electrophysiology in Europe and North America. The Task Force of the North American Society of Pacing and Electrophysiology (hereafter referred to as NASPE) is said to be capable of a five-minute record. The heart rate at any given time or the interval between normal pulses is measured. Continuous ECG or PPG waveforms determine RR intervals or instantaneous heartbeats. The heart rate variability of the time range mainly reflects the effects of the parasympathetic nervous system and all units of time range analysis are msec. In the time range analysis, a series of data are obtained in two types, one obtained by direct measurement of the RR interval or the instantaneous heartbeat, and the other from the difference in the RR interval. The parameters obtained through the time range analysis are the mean heart rate, the standard deviation of the entire RR interval (hereinafter referred to as SDNN), and the square root of the mean of the square of the difference between adjacent RR intervals (hereinafter referred to as RMSSD). There is).

Frequency domain analysis uses FFT (Four Fourier Transform) to analyze the frequency range. It is an analysis method that can separately evaluate each frequency band constituting the HRV variation signal. In other words, the HRV signal is represented as a complex signal by combining the frequency signals of different bands, which is a method of separately evaluating the power spectral density (PSD) of each frequency band constituting the HRV signal. The parameters obtained through the frequency range analysis are the intensity of the very low frequency band (hereinafter referred to as VLF), the intensity of the low frequency (hereinafter referred to as LF), and the high frequency (hereinafter referred to as "high frequency"). Intensity of HF), 5-minute total power (hereinafter referred to as TP), LF / HF ratio of low frequency to high frequency, and normalized intensity of low and high frequency bands. LF and HF).

However, in the conventional autonomic neural examination apparatus, the parameters are often incorrectly measured due to the dynamic noise, etc. In addition, in the conventional autonomic neural examination apparatus, the reference value for the inspection value is not suitable for the Asian people, and there are many cases of incorrect results. These reference values use the values defined in NASPE, which are measured based on Westerners and are not suitable for Asians such as Korea and Japan.

Therefore, an autonomic neural examination apparatus with improved accuracy is desired.

The present invention provides both an autonomic neural examination apparatus using a heart rate variability with both a time domain analysis and a frequency domain analysis, eliminating dynamic noise, and providing a reference value suitable for Asians.

In another aspect, the present invention provides an autonomic examination device having an index capable of quantitatively analyzing the compression index (physical stress index), emotional state (mental stress index).

In addition, the present invention can perform a quantitative analysis of the activity of the autonomic nervous system and simultaneously analyze the activity of the sympathetic nerve and parasympathetic nerve, the present invention can determine the degree of autonomic nervous system balance, predict the overall health state, the body caused by stress To determine the degree of response to stress, to determine the degree of acute / chronic response to stress, to determine the degree of physical / mental stress, to predict the risk of developing a stress-related disorder, to easily determine the degree of fatigue of a subject, To predict the electrical stability of the autonomous neurological analysis device capable of autonomic neurological analysis of functional digestive disorders.

The technical problem to be achieved by the present invention is to provide an autonomic nervous system that can analyze the activity of the sympathetic nerve and parasympathetic nerve at the same time, check the balance of the autonomic nervous system, and can determine the degree of response of the body by stress. .

Another technical problem to be achieved by the present invention is to provide an autonomic nervous system for quantitatively analyzing the pressure index, emotional state.

Another object of the present invention is to provide an autonomic neurological examination apparatus using a heart rate variability which improves accuracy by removing dynamic noise.

Another technical problem to be achieved by the present invention is to have a database constructed by gender and age for a normal reference suitable for Asians including Korea and Japan, so that the physical, emotional, and general health may be more accurately measured. The present invention provides an autonomic neuroanalysis device that can be analyzed.

Hereinafter, the structure and operation of the autonomic nervous system according to an embodiment of the present invention will be described in detail with reference to the accompanying drawings.

FIG. 2 is a block diagram schematically illustrating a configuration of an autonomic neural examination apparatus according to an exemplary embodiment of the present invention, and includes a signal detector 1000, an A / D converter 1300, a peak detector 1600, and time analysis. A unit 2000, a frequency analyzer 3000, a parameter analyzer 4000, a reference database 5000, a data input unit 5500, and an analysis result display unit 6000 are provided.

The signal detector 1000 detects an electrocardiogram (ECG) signal and an oxygen saturation (PPG) signal from a body of a subject, and includes an ECG signal detector 100 and a PPG signal detector 500.

The ECG signal detector 100 includes two ECG electrodes, an amplifier, and a filter, and detects and amplifies an ECG signal from two ECG electrodes, and removes noise.

PPG signal detection unit 500 is composed of an optical sensor, an amplifier, a filter, detects and amplifies the PPG signal from the optical sensor and removes the noise.

The A / D converter 1300 converts the output signals of the ECG signal detector 100 and the PPG signal detector 500 of the signal detector 1000 into digital signals.

The peak detector 1600 detects an R point which is a peak of the ECG signal from the output signal of the A / D converter 1300, obtains an RR interval, and calculates a heart rate. In general, an ECG signal of one cycle includes P, Q, R, S, and T points, and since the point corresponding to the peak point is an R point, the R point is detected here. The interval between the R point and the next R point is obtained, and the RR interval corresponds to the heart rate period. The heart rate of the time is calculated from the value of the RR interval and stored for the measurement time. When the measurement is completed, the values are transmitted to the time analyzer 2000.

The time analyzer 2000 squares the difference between time domain parameters, namely mean heart rate (mean HRT), standard deviation (SDNN) of the entire RR interval (hereinafter referred to as SDNN), and adjacent RR intervals by using a statistical technique. The root mean square of the value (RMSSD) (hereinafter referred to as RMSSD), successive RR interval difference (hereinafter referred to as SRD), approximate entrophy (hereinafter referred to as APEN), and compression index ( pressure index (hereinafter referred to as PI). In particular, the pressure index (PI) may also be referred to as a physical stress index (hereinafter referred to as PSI).

The frequency analysis 3000 calculates the intensity of each domain of the very low frequency band (VLF), low frequency band (LF), and high frequency band (HF) based on the frequency domain parameter, that is, the result obtained through the FFT transformation. Calculate the total intensity (TP), normalized LF of low frequency band, normalized HF of high frequency band, and LF / HF ratio of low frequency to high frequency. The emotional state (hereinafter referred to as ES) is determined from the LF / HF ratio of the low frequency to high frequency. In particular, the emotional state (ES) may be referred to as the mental stress index (hereinafter referred to as MSI).

The baseline database 5000 is a database of normal ranges according to gender and age obtained based on clinical data of about 5000 normal people. Based on this, it is judged normal status. The reference value database 5000 is a database suitable for Asians including Korea and Japan.

The data input unit 5500 temporarily receives the sex and age of the examinee.

The parameter analyzer 4000 is a parameter obtained from the time analyzer 2000 and the frequency analyzer 3000, that is, the average heart rate, SDNN, RMSSD, APEN, SRD, APEN, PI, TP, VLF, and LF. , The strength of the HF, the normalized LF of the low frequency band, the normalized HF of the high frequency band, the LF / HF ratio of the low frequency band, and the ESs into the reference database 500. Compare and analyze the existing values. In addition, autonomic activity, autonomic balance, stress resistance, stress index, and fatigue degree are derived by inferring the relationship between biosignals and clinical results of each parameter detected by the time analyzer 2000 and the frequency analyzer 3000. Analyze heart rate abnormalities and heart rate.

The peak detector 1600, the time analyzer 2000, the frequency analyzer 3000, and the parameter analyzer 4000 may be formed by a microprocessor.

The analysis result display unit 6000 displays the analysis result by two methods. The first display method is a general display method of displaying a value unique to each parameter with respect to a normal region, and displays a pressure index (PI), an emotional state (ES), and the like.

The second display method infers the relationship between the biosignal and clinical results of each parameter to display autonomic nerve activity, autonomic balance, stress resistance, stress index, fatigue, average heart rate, heart rate abnormal heart rate, and the like. .

3 is a block diagram illustrating the signal detection unit of FIG. 2, FIG. 3A is a block diagram illustrating the ECG signal detection unit 100 of FIG. 2, and FIG. 3B is a PPG of FIG. 2. It is a block diagram for explaining the signal detection unit 500.

  In FIG. 3A, the ECG signal detector 100 includes two ECG electrodes 110, an amplifier 130, and a filter 160. Two ECG electrodes 110 detect an ECG signal. As the ECG electrode 110, a forceps-type lead mounted on both arms may be used. The amplifier 130 differentially amplifies the output signal of the ECG electrode 110. The filter unit 160 removes noise such as 60 Hz noise.

In FIG. 3B, the PPG signal detector 500 includes an optical sensor 510, an amplifier 530, and a filter 560. The two optical sensors 510 convert blood flow signals into electrical signals. The amplifier 130 amplifies the output signal of the optical sensor 510. The filter unit 160 removes noise such as 60 Hz noise.

FIG. 4 is a block diagram illustrating the configuration of the peak detector of FIG. 2. The peak detector 1600 includes a noise canceller 1610, an R point detector 1620, an RR interval detector 1630, a heart rate calculator 1640, and buffers 1650 and 1660.

The noise canceller 1610 removes the artifact from the ECG signal received from the A / D converter 1300.

The R point detector 1620 detects the inflection point in the differential waveform by differentiating the output signal of the noise canceller 1610, and detects the values and time positions of the first and second peaks therefrom. Here, the first peak corresponds to the first R point and the second peak corresponds to the second R point.

The RR interval detector 1630 obtains an RR interval, that is, a time interval from the second R point to the first R point, from the output signal of the R point detector 1620.

The heart rate calculator 1640 calculates the heart rate per minute by dividing the number of data input from the A / D converter 1300 for one minute by the RR interval.

The buffer units 1650 and 1660 buffer the RR intervals and heart rate per minute obtained by the RR interval detector 1630 and the heart rate calculator 1640, and output the buffers to the time controller 1600.

The peak detector 1600 of FIG. 2 will be described in more detail with reference to FIG. 5.

5 is a flowchart for describing a peak detector of FIG. 2.

The artifact is removed from the ECG signal received from the A / D converter 1300 (S110) by passing through a 30 Hz third-order low pass filter (LPF) (S120). The derivative is found to find the inflection point in the differential waveform (S130).

The time position where the first peak is located, that is, the first peak time position is obtained from the found inflection point, and the first peak value at the time position is obtained (S140). If the first peak thus obtained satisfies a predetermined R setting criterion, the first peak is obtained (S150), and otherwise, the process ends (S160). The first peak becomes the first R point, and is an R point that satisfies a predetermined R setting criterion and corresponds to a normal R point.

 In the differential waveform, the inflection point is found after the first peak time position to obtain a time position with a second peak, that is, a second peak time position, and obtain a second peak value at the time position (S170). If the second peak thus obtained satisfies a predetermined R setting criterion, the second peak is obtained (S180). Otherwise, the second peak is terminated (S190). The second peak is the peak immediately after the first peak, and the second peak is the second R point. The second R point is an R point that meets a predetermined R setting criterion and corresponds to a normal R point. In addition, the second R point becomes the R point immediately after the first R point.

Therefore, the time interval from the second R point to the first R point, that is, the RR interval, that is, the time interval from the second peak time position to the first peak time position is subtracted from the second peak time position. The RR interval is obtained (S200). The RR interval is also referred to as NN interval as the interval from normal R point to normal R point, and the RR interval may be referred to as a time interval for one cycle of the electrocardiogram, that is, one heartbeat.

Therefore, the beats per minute is the number of data for one minute by multiplying the sampling frequency of the A / D converter 1300 by 60, and dividing it by the RR interval becomes the beats per minute (210).

The following describes the parameters analyzed on the time domain of the present invention.

The time analyzer 2000 calculates the difference between the mean heart rate (mean HRT), the standard deviation of the total RR intervals (SDNN), and the adjacent RR intervals by using a statistical method for the RR interval and the heart rate per minute obtained by the time analyzer 2000. The square root of the mean of squared values (RMSSD), approximate entropy (APEN), successive RR intervals (SRD), and compression index (PI) are obtained.

N number of RR intervals (RRI) acquired during the measurement time can be represented by Equation 1.

RRI = {I (1), I (2), I (3), ..., I (N)}

In Equation 1, RRI is N RR intervals acquired during the measurement time, and each of I (1), I (2), I (3) .... I (N) is an RR interval.

N heart rate data (hereinafter referred to as HRT) data acquired during the measurement time may be represented by Equation 2 below.

HRT = {hr (1), hr (2), hr (3), ..., hr (N)}

HRT is the N heart rate acquired during the measurement time, hr (1), hr (2), hr (3), ..., hr (N) are each heart rate. hr (1), hr (2), hr (3), ..., hr (N) are each RR intervals of Equation 1, i (1), I (2), I (3),. ... are the heart rates obtained by each of I (N).

The i th heart rate may be expressed as in Equation 3.

hr (i) = (total samples per minute) / I (i)

If the sampling frequency of the A / D converter is 500 Hz, the total number of samples for one minute (60 seconds) is 500 × 60, which is 30000.

Therefore, the average heart rate during the recording time is called the mean heart rate (mean HRT), which is expressed by Equation (4).

In Equation 4, N is the total heart rate, and hr (i) is the i-th heart rate. The mean heart rate (mean HRT) is the number of heart beats per minute, in bpm.

The standard deviation SDNN of the entire RR interval is calculated as shown in Equation 5.

In Equation 5, meanRRI refers to an average RR interval, and I (i) refers to an i-th RR interval.

The root mean square (RMSSD) of the square of the difference between adjacent RR intervals is calculated as in Equation 6.

Successive RRI differences (SRDs) are obtained as shown in Equation (7).

The SRD measures the degree of change by taking the first part of the five-minute section as a baseline, and it is an index that can determine whether the data is kept in a constant state.

The compression index PI is calculated as in Equation 8.

In Equation 8, VS is a variation range, that is, a range of RR interval variation. The MO is the most probable meaning of the RR intervals among the RR interval data, and the MOA is the number of the most probable meanings of the RR intervals, that is, the number of MOs in the RR interval data.

Since the compression index (PI) is also the same as the physical stress index (PSI), it can be said that the equation (9).

In addition, the time analyzer 2000 obtains an approximate entrophy (APEN), which is a statistical quantification of how complex the signal is in the time series. It is a quantitative measure of the complexity of the total heartbeat time.

Approximate entropy (APEN) can be obtained as shown in Equation 10.

Where P _m (i) refers to a subset of contiguous m elements of the set RRI, where P _m = {P _m (1), P _m (2), P _m (3), ... P _m (N-m + 1)}. And when P _m (i) and P _m (j) satisfy 0 | k <m, where | I (i + k) -I (j + k) | <r satisfies the two patterns P _m (i) and P _m (j) is defined as 'similar', and the number of patterns similar to P _m (i) in the set P _m is called n _im (r).

FIG. 6 is a block diagram illustrating the configuration of the time analyzer 2000 of FIG. 2, and includes a noise reduction unit 2100, a time operation processor 2050, and a time buffer unit 2700. The time calculating unit 2050 includes an average heart rate calculating unit 2200, an SDNN calculating unit 2300, an RMSSD calculating unit 2400, an SRD calculating unit 2500, and a PI calculating unit 2600, and the time buffer unit 700 includes a first buffering unit. Time buffer unit 2150, second time buffer unit 2250, third time buffer unit 2350, fourth time buffer unit 2450, fifth time buffer unit 2550, and sixth time buffer unit 2650. ).

The noise removing unit 2100 removes data incorrectly detected by motion artifacts among the data input from the peak detector 1600 and replaces the place with clean data without noise.

The average heart rate calculator 2200 calculates an average heart rate (mean HRT) by using Equation 4 using the output signal of the dynamic noise canceller 2100.

The SDNN calculating unit 2300 calculates the standard deviation SDNN of the entire RR intervals by using Equation 5 using the output signal of the dynamic noise removing unit 2100 and the output signal of the average heart rate calculating unit 2200.

The RMSSD calculator 2400 calculates a root mean square (RMSSD) of an average of squared differences between adjacent RR intervals by using the output signal of the dynamic noise canceller 2100.

The SRD calculator 2500 calculates a continuous RR gap SRD by Equation 7 using the output signal of the dynamic noise canceller 2100.

The PI calculator 2600 calculates PI using Equation 8 using the output signal of the average heart rate calculator 2200.

In addition, although not shown in the drawing, the time analyzer 2000 further includes an APEN calculator (not shown) and a buffer unit accordingly.

The first to sixth time buffer units 2150, 2250, 2350, 2450, 2550, and 2650 include the noise reduction unit 2100, the average heart rate calculator 2200, the SDNN calculator 2300, the RMSSD calculator 2400, and the SRD. The output signals of the operation unit 2500 and the PI operation unit 2600 are buffered, and the output signals are output to the frequency frequency analyzer 3000 and the parameter detector 4000.

The following describes the parameters analyzed on the frequency domain (freauency domain) in the present invention.

The frequency analyzer 3000 separates and evaluates the intensity (POWER) of each frequency band (VLF, LF, HF) constituting the HRV signal, and analyzes the change in the RR interval to perform waveform analysis on each frequency domain. This is to evaluate the relative strength of the signal, that is, the power spectral density (PSD).

The frequency analyzer 3000 performs FFT transformation to perform frequency analysis from the output signal of the peak detector 1600. The results obtained through the conversion are calculated for each region of the very low frequency band (VLF), low frequency band (LF), and high frequency band (HF), and used for 5 minutes for the total intensity (TP) and the normalized intensity of the low frequency band ( normalized LF), normalized intensity of high frequency band (normalized HF), and low frequency to high frequency band strength ratio (LF / HF ratio).

The distribution of the major frequency bands of VLF, LF, and HF and their power spectrum is not fixed and varies with the regulation of the autonomic nervous system on respiration and heart. The HRV size in the high frequency region (HF) is related to the parasympathetic activity of the vagus nerve during breathing, and the HRV size in the low frequency region is affected by both vagus nerve activity and sympathetic activity. The ratio of the size of the low frequency region to the size of the high frequency region is an index reflecting the balance of the activity of sympathetic and parasympathetic.

In general, the major frequency band of a HRV signal is between 0.04 Hz and 0.4 Hz for 5 minutes, and FIG. 7 shows an example of the power spectrum density (hereinafter referred to as PSD) in the major frequency band of a HRV signal. Indicates.

The power spectrum density PSD (x) of the HRV signal, i.e., PSD (x), is a power spectrum density of frequency x, where x is 0.0≤x≤0.4.

VLF (Very Low Frequency) PSD is a PSD in the frequency band 0.0033 ~ 0.04Hz, providing additional information of the sympathetic nerve. The PSD of the VLF is represented by Equation (11).

In Equation 11, VLF represents PSD in VLF.

LF (low frequency) PSD is a frequency band of 0.04 ~ 0.15Hz, which is a relative low frequency component near 0.1Hz that reflects blood pressure control and mechanism activity, and simultaneously reflects the activity of the sympathetic nervous system and parasympathetic nervous system. The PSD of the LF is represented by Equation 12.

In Equation 12, LF represents a PSD in LF.

HF (High frequency) PSD is a PSD of the frequency band of 0.15 ~ 0.4Hz, this frequency band is a respiratory band (ie, relative high frequency components related to respiratory activity). HF PSD is an index of activity of the parasympathetic nervous system. The PSD of the HF is represented by Equation 13.

In Equation 13, HF represents PSD in HF.

5-minute total power (TP) means all power for 5 minutes including PSDs of VLF, LF, HF. This reflects the overall activity of the autonomic nervous system along with the activity of the sympathetic nerve, which is a basic influence factor. TP may be represented by Equation 14.

In Equation 12, VLF, LF, and HF represent PSDs of VLF, LF, and HF. That is, the total intensity TP for 5 minutes is the power spectrum density PSD with a frequency x of 0.0033 ≦ x ≦ 0.4.

The normalized LF (LFnorm) of the low frequency band is a normalization of the PSD of the LF to the sum of the PSD of the LF and the PSD of the HF. The normalized intensity (LFnorm) of the low frequency band is expressed by Equation 15.

In Equation 13, LF and HF represent PSDs of LF and HF.

The normalized HF (HFnorm) of the high frequency band is obtained by normalizing the PSD of the HF to the sum of the PSD of the LF and the PSD of the HF. The normalized intensity HFnorm of the high frequency band is expressed by Equation 16 below.

In Equation 16, LF and HF represent PSDs of LF and HF.

The normalized intensity (LFnorm) in the low frequency band and the normalized intensity (HFnorm) in the high frequency band indicate the degree of control and balance of the two systems of the autonomic nervous system.

LF / HF ratio (Ratio) is the ratio between LF and HF, and low-frequency high-frequency band strength ratio (Ratio) reflects the overall balance between sympathetic and parasympathetic nerves. The LF / HF ratio (Ratio) is inversely proportional to the activity of the sympathetic nerve and inversely related to the activity of the parasympathetic nerve. The low frequency band high frequency band intensity ratio is represented by Equation 17.

In Equation 17, LFnorm is a normalized intensity of the low frequency band, HFnorm represents a normalized intensity of the high frequency band, and Ratio represents a low frequency band high frequency band intensity ratio.

Emotional State (ES) and Mental Stress Index (MSI) are equal to the low frequency band high frequency band strength ratio (LF / HF ratio), which is represented by Equation 18.

FIG. 8 is a block diagram illustrating the configuration of the frequency analyzer of FIG. 2. The FFT calculator 3100, the TP calculator 3200, the VLF calculator 3300, the LF calculator 3400, the HF calculator 3500, and normalization are illustrated in FIG. The calculator 3600, the intensity ratio calculator 3700, and the first to sixth frequency buffers 3250, 3350, 3450, 3550, 3650, and 3750 are included.

The FFT computation processor 3100 receives a signal received from the dynamic noise canceller 2100 of the time analyzer 2000 through the first time buffer unit 2150, that is, the dynamic noise canceller of the time analyzer 2000. The noise is removed from the 2100), and the FFT is obtained from the ECG signal replaced with the clean data without the noise.

The TP calculator 3200 calculates the total intensity TP for 5 minutes, that is, the total PSD for 5 minutes, using the output signal of the FFT calculation processor 3100.

The VLF calculator 3300 obtains a PSD having a frequency band of 0.0033 to 0.04 Hz by using Equation 11 using the output signal of the FFT processor 3100.

The LF calculator 3400 calculates a PSD of a frequency band of 0.04 to 0.15 Hz by using Equation 12 using the output signal of the FFT calculation processor 3100.

The HF calculator 3500 obtains a PSD of a frequency band of 0.15 to 0.4 Hz by using Equation 13 using the output signal of the FFT processor 3100.

The normalization operation unit 3600 uses the output signals of the LF operation unit 3400 and the HF operation unit 3500 and the normalized intensity of the low frequency band (LFnorm) and the normalized intensity of the high frequency band according to Equation 15 and Equation 16. HFnorm)

The intensity ratio calculator 3700 calculates a low frequency (LF) to a high frequency (HF) band intensity ratio (LF / HF ratio) ratio by using the output signal of the normalization calculator 3600. The low frequency (LF) to high frequency (HF) band intensity ratio (LF / HF ratio) (Ratio) corresponds to the emotional state (ES) and the mental stress index (MSI).

The first to sixth frequency buffer units 3250, 3350, 3450, 3550, 3650, and 3750 may include the TP calculator 3200, the VLF calculator 3300, the LF calculator 3400, the HF calculator 3500, and the normalization calculator 3600. ) And buffers the output signal of the intensity ratio calculator 3700 and transmits it to the parameter unit 4000.

The following describes the reference database constructed in the present invention.

The baseline database 5000 is a database of normal ranges according to gender and age obtained based on clinical data of about 5000 normal people.

FIG. 9 is an example of average heart rate according to age of Korean men, and FIG. 10 is an example of average heart rate according to age of Korean women.

From Fig. 9, the equation of the fitting line for the average heart rate of Korean men was obtained as shown in Equation 19, where the standard deviation is about ± 11.

y = -0.1x + 78.1

Where y represents your average heart rate and x represents your age. Therefore, the database stores the coefficient -0.1, the intercept 78.1, and the standard deviation ± 11 for the mean heart rate of Asian males.

From Fig. 10, the equation of the fitting line for the average heart rate of Korean women was obtained as shown in Equation 20, wherein the standard deviation is about ± 10.

y = -0.16x + 81.1

Where y represents your average heart rate and x represents your age. Therefore, the database stores the coefficient -0.16, the intercept 81.1, and the standard deviation ± 10 for the mean heart rate of Asian males.

9 and 10 are examples of graphs in which statistics are performed to construct a reference value database, and other parameters were obtained by the same method, and reference ranges were obtained through fitting lines of the graphs.

The parameter analyzer 4000 determines whether the parameter is within a reference range based on the database 5000. The baseline database 5000 constructed in the present invention is a database suitable for Asians including Korea and Japan.

That is, in the present invention, the reference range of each parameter is expressed by Equation 21.

y _max = Ax + B + C

y _min = Ax + B-C

Where y _max represents the maximum reference value of the parameter, y _min represents the minimum reference value of the parameter, and y _max and y _min are greater than zero. X represents age and C represents standard deviation. A, B, and C are values that depend on gender and parameters and are stored in the database. A corresponds to the coefficient of that parameter, and B corresponds to the intercept of that parameter. That is, if the value of each parameter is within the maximum reference value and the minimum reference value of the parameter, it is determined that the parameter is within the reference range.

FIG. 11 is a block diagram illustrating the configuration of the parameter analyzer of FIG. 2. The average heart rate analyzer 4100, the SDNN analyzer 4150, the RMSSD analyzer 4200, the SRD analyzer 4250, and the PI analyzer are illustrated. 4300, TP analyzer 4400, VLF analyzer 4450, LF analyzer 4500, HF analyzer 4550, LF analyzer 4600, HF analyzer 4650, and An intensity ratio analyzer 4700 is provided. In the following, repairs related to frequency analysis are presented in log scale.

The parameter analyzer 4000 receives the average heart rate, the SDNN, the RMSSD, the SRD, the PI, and the APEN from the time analyzer 2000, and the strengths of the TP and VLF (PSD) and the strength of the LF from the frequency analyzer 3000. PSD), HF strength (PSD), normalized LF strength, normalized HF strength, and band strength ratio of LF to HF. In addition, the gender and age of the examinee are received from the data input unit 5500. Reference data consisting of coefficients, intercepts, standard deviations, and the like corresponding to the respective parameters are read from the database 5000 according to the sex of the examinee, and the maximum and minimum reference values of each parameter are obtained by the equation (21). The parameters received from the time analyzer 2000 or the frequency analyzer 3000 are compared with the maximum reference value and the minimum reference value of each parameter.

The average heart rate analyzer 4100 receives the average heart rate received from the time analyzer 2000, and also receives the sex and age of the examinee from the data input unit 5500. The maximum reference value and the minimum reference value of the average heart rate are calculated by Equation 21 from the predetermined average heart rate reference data read from the database 5500 according to the gender of the examinee. The average heart rate received from the time analyzer 2000 is compared with the maximum reference value and the minimum reference value of the average heart rate. That is, the average heart rate analyzer 4100 compares whether the average heart rate received from the time analyzer 2000 is greater than or equal to the average heart rate minimum reference value and less than or equal to the same range. In the present invention, the predetermined average heart rate reference data read from the database 5500 when the gender of the examinee inputted from the data input unit 5500 is male is a coefficient of -0.1, an intercept 78.1, and a standard deviation of 11. Equation 22 for the reference value and the minimum reference value. In the present invention, the predetermined average heart rate reference data read from the database 5500 when the gender of the subject input from the data input unit 5500 is female is a coefficient of -0.16, an intercept 81.1, and a standard deviation of 10, so that the average heart rate of the female Equation 23 for the maximum reference value and the minimum reference value.

y _max = -0.1x + 78.1 + 11 = -0.1x + 89.1

y _min = -0.1x + 78.1-11 = -0.1x + 67.1

y _max = -0.16x + 81.1 + 10 = -0.16x + 91.1

y _min = -0.16x + 81.1-10 = -0.16x + 71.1

Where y _max is the maximum baseline of the average heart rate, y _min is the minimum baseline of the average heart rate, and x is the age (age). The unit of y _max and y _min is bpm (bit / minute).

The SDNN analyzer 4150 receives the SDNN from the time analyzer 2000, and also receives the gender and age of the examinee from the data input unit 5500. The maximum reference value and the minimum reference value of the SDNN are obtained from Equation 21 from predetermined SDNN reference data read from the database 5500 according to the gender of the examinee. The SDNN received from the time analyzer 2000 is compared with the maximum reference value and the minimum reference value of the SDNN. That is, the SDNN analyzer 4150 compares whether the SDNN received from the time analyzer 2000 is less than or equal to the SDNN maximum reference value, which is the reference range of the SDNN, and is greater than or equal to the SDNN minimum reference value. In the present invention, when the sex of the subject input from the data input unit 5500 is male, the predetermined SDNN reference data read from the database 5500 is a coefficient of -0.52, an intercept 60.4, and a standard deviation of 20, and thus the maximum reference value of the male SDNN and Equation (24) for the minimum reference value. In the present invention, the predetermined SDNN reference data read from the database 5500 when the gender of the test subject inputted from the data input unit 5500 is a female is a coefficient of -0.44, an intercept 55, and a standard deviation 16, and thus the maximum reference value of the female SDNN. And Equation 25 for the minimum reference value.

y _max = -0.52x + 60.4 + 20 = -0.52x + 80.4

y _min = -0.52x + 60.4-20 = -0.52x + 40.4

y _max = -0.44x + 55 + 16.1 = -0.44x + 71.1

y _min = -0.44x + 55-16.1 = -0.44x + 38.9

Where y _max is the maximum baseline of SDNN, y _min is the minimum baseline of SDNN, and x is the age (age). When y _max and y _min obtained by the equations (24) and (25) are smaller than 0, the value is 0.

A parameter called SDNN is an index for heart rate variability (HRV), which means how much difference each normal RR interval (NN interval) represents from the mean. On the contrary, the reason why SDNN is small means that the heart rate fluctuation signal is so monotonous.

The RMSSD analyzer 4200 receives the RMSSD from the time analyzer 2000, and also receives the gender and age of the examinee from the data input unit 5500. The maximum reference value and the minimum reference value of the RMSSD are obtained from Equation 21 from predetermined RMSSD reference data read from the database 5500 according to the gender of the examinee. The RMSSD received from the time analyzer 2000 is compared with the maximum reference value and the minimum reference value of the RMSSD. That is, the RMSSD analyzer 4200 compares whether the RMSSD received from the time analyzer 2000 is less than or equal to the maximum RMSSD, which is the reference range of the RMSSD, and is greater than or equal to the minimum RMSSD. In the present invention, the predetermined RMSSD reference data read from the database 5500 when the gender of the examinee inputted from the data input unit 5500 is male is a coefficient of -0.35, an intercept 41.5, and a standard deviation of 15.4. Therefore, the maximum reference value of the male RMSSD and Equation 26 for the minimum reference value. In the present invention, the predetermined RMSSD reference data read from the database 5500 when the gender of the test subject inputted from the data input unit 5500 is a female is a coefficient of -0.35, an intercept 43.2, and a standard deviation of 15.7, and thus the maximum reference value of the female RMSSD. And Equation 27 for the minimum reference value.

y _max = -0.35x + 41.5 + 15.4 = -0.35x + 56.9

y _min = -0.35x + 41.5-15.4 = -0.35x + 26.1

y _max = -0.35x + 43.2 + 15.7 = -0.35x + 58.9

y _min = -0.35x + 43.2-15.7 = -0.35x + 27.5

Where y _max is the maximum baseline of RMSSD, y _min is the minimum baseline of RMSSD, and x is age (age). When y _max and y _min obtained by Equations 26 and 27 are smaller than 0, the value is 0. The root mean square (RMSSD) of the square of the difference between adjacent RR intervals is a variable used to evaluate the activity of parasympathetic nerves in the autonomic nerves involved in the heart.

The SRD analyzer 4250 receives the SRD from the time analyzer 2000, and also receives the sex and age of the examinee from the data input unit 5500. The maximum reference value and the minimum reference value of the SRD are obtained from Equation 21 from predetermined SRD reference data read from the database 5500 according to the gender of the examinee. The SRD received from the time analyzer 2000 is compared with the maximum reference value and the minimum reference value of the SRD. That is, the SRD analyzer 4250 compares whether the SRD received from the time analyzer 2000 is less than or equal to the SRD maximum reference value, which is the reference range of the SRD, and is greater than or equal to the SDNN minimum reference value. In the present invention, the predetermined SRD reference data read from the database 5500 when the gender of the test subject inputted from the data input unit 5500 is male is a coefficient of 0.0009 intercept 0.92 and a standard deviation of 0.13, and thus the maximum reference value and the minimum reference value of the male SRD. Equation 28 for In the present invention, the predetermined SRD reference data read from the database 5500 when the gender of the test subject inputted from the data input unit 5500 is a female is a coefficient of 0.0013, an intercept 0.9, and a standard deviation of 0.11. Thus, the maximum reference value of the female SRD and Equation 29 for the minimum reference value.

y _max = 0.0009x + 0.92 + 0.13 = 0.0009x + 1.05

y _min = 0.0009x + 0.92-0.13 = 0.0009x + 0.79

y _max = 0.0013x + 0.9 + 0.11 = 0.0013x + 1.01

y _min = 0.0013x + 0.9-0.11 = 0.0013x + 0.79

Where y _max is the maximum reference value of the SRD, y _min is the minimum reference value of the SRD, and x is the age (age).

The PI analyzer 4300 receives the PI from the time analyzer 2000 and also receives the gender and age of the examinee from the data input unit 5500. The maximum reference value and the minimum reference value of PI are obtained from Equation 21 from predetermined PI reference data read from the database 5500 according to the gender of the examinee. Then, the PI received from the time analyzer 2000 is compared with the maximum reference value and the minimum reference value of the PI. That is, the PI analyzer 4300 compares whether the PI received from the time analyzer 2000 is less than or equal to the PI maximum reference value, which is a reference range of the PI, or greater than or equal to the PI minimum reference value. In the present invention, when the sex of the subject input from the data input unit 5500 is male, the predetermined PI reference data read from the database 5500 are coefficient 1.88, intercept -13.1, standard deviation 27, and thus the maximum reference value of male PI Equation 30 for the minimum reference value. In the present invention, the predetermined PI reference data read from the database 5500 when the gender of the test subject inputted from the data input unit 5500 is a female is a coefficient 1.54, an intercept -0.3, and a standard deviation of 30, and thus the maximum reference value of the female PI. And Equation 31 for the minimum reference value.

y _max = 1.88x-13.1 + 27 = 1.88x + 13.9

y _min = 1.88x-13.1-27 = 1.88x-40.1

y _max = 1.54x-0.3 + 30 = 1.54x + 29.7

y _min = 1.54x-0.3-30 = 1.54x-30.3

Where y _max is the maximum reference value of PI, y _min is the minimum reference value of PI, and x is the age (age). When y _max and y _min obtained by Equations 30 and 31 are smaller than 0, the value is 0.

In general, an increase in HRV does not mean an increase in heart rate, but an increase in the rate of change in heart rate. An increase in HRV means that the heart rate is irregular and complex in physiology, and a decrease in HRV means that the heart rate is regular and constant.

In addition, although not shown in the figure, the parameter analyzer 4000 further includes an APEN analyzer (not shown). The APEN analyzer receives the APEN from the time analyzer 2000, and also receives the gender and age of the examinee from the data input unit 5500. The maximum reference value and the minimum reference value of APEN are obtained from Equation 21 from predetermined APEN reference data read from the database 5500 according to the gender of the examinee. The APEN received from the time analyzer 2000 is compared with the maximum reference value and the minimum reference value of the APEN.

The TP analyzer 4400 receives the TP from the frequency analyzer 3000, and also receives the gender and age of the examinee from the database 5500. The maximum reference value and the minimum reference value of the TP are obtained from Equation 21 from predetermined TP reference data read from the database 5500 according to the gender of the examinee. The TP received from the frequency analyzer 3000 is compared with the maximum reference value and the minimum reference value of the TP. That is, the TP analyzer 4400 compares whether the TP received from the frequency analyzer 3000 is less than or equal to the TP maximum reference value that is the reference range of the TP and is greater than or equal to the TP minimum reference value. In the present invention, the predetermined TP reference data read from the database 5500 when the gender of the test subject inputted from the data input unit 5500 is male is a coefficient of -0.031, an intercept 8, and a standard deviation of 0.93. Therefore, the maximum reference value of the male TP and Equation 32 for the minimum reference value. In the present invention, the predetermined TP reference data read from the database 5500 when the gender of the test subject input from the data input unit 5500 is a female is a coefficient of -0.27, an intercept 7.75, and a standard deviation of 0.86, and thus the maximum reference value of the female TP. And Equation 33 for the minimum reference value.

y _max = -0.031x + 8 + 0.93 = -0.031x + 8.93

y _min = -0.031x + 8-0.93 = -0.031x + 7.07

y _max = -0.27x + 7.75 + 0.86 = -0.27x + 8.61

y _min = -0.27x + 7.75-0.86 = -0.27x + 6.89

Where y _max is the maximum threshold of TP, y _min is the minimum threshold of TP, and x is the age (age). Here, the unit of TP is ms ² / Hz.

The VLF analyzer 4450 receives the VLF intensity (PSD) from the frequency analyzer 3000, and also receives the gender and age of the examinee from the database 5500. According to the gender of the examinee, the maximum reference value and the minimum reference value of the VLF intensity are obtained from Equation 21 from reference data of the predetermined VLF intensity read from the database 5500. The VLF strength received from the frequency analyzer 3000 is compared with the maximum reference value and the minimum reference value of the VLF strength. That is, the VLF analyzer 4450 compares whether the VLF intensity received from the frequency analyzer 3000 is less than or equal to the maximum reference value of the VLF intensity, which is the reference range of the VLF intensity, and is greater than or equal to the minimum reference value of the VLF intensity. .

The LF analyzer 4500 receives the LF intensity (PSD) from the frequency analyzer 3000, and also receives the sex and age of the examinee from the database 5500. The maximum reference value and the minimum reference value of the LF intensity are obtained from Equation 21 from reference data of the predetermined LF intensity read from the database 5500 according to the gender of the examinee. The LF strength received from the frequency analyzer 3000 is compared with the maximum reference value and the minimum reference value of the LF strength. That is, the LF analyzer 4500 compares whether the LF intensity received from the frequency analyzer 3000 is less than or equal to the maximum reference value of the LF intensity, which is the reference range of the LF intensity, and is greater than or equal to the minimum reference value of the LF intensity. . In the present invention, when the sex of the subject input from the data input unit 5500 is male, the reference data of the predetermined LF intensity read from the database 5500 is the coefficient -0.044, the intercept 7.3, and the standard deviation 1.08, and thus the male LF intensity Equation 34 for the maximum reference value and the minimum reference value. In the present invention, when the sex of the subject input from the data input unit 5500 is female, the reference data of the predetermined LF intensity read from the database 5500 are the coefficient -0.038, the intercept 6.75, the standard deviation 1.01, and thus the female LF strength. Equation 35 for the maximum reference value and the minimum reference value of.

y _max = -0.044x + 7.3 + 1.08 = -0.044x + 8.38

y _min = -0.044x + 7.3-1.08 = -0.044x + 6.22

y _max = -0.038x + 6.75 + 1.01 = -0.038x + 7.76

y _min = -0.038x + 6.75-1.01 = -0.038x + 5.74

Where y _max is the maximum reference value for LF intensity, y _min is the minimum reference value for LF intensity, and x is the age (age). Here, the unit of LF intensity is ms ² / Hz. The intensity of LF reflects the activity of the sympathetic and parasympathetic nervous system at the same time, but is mostly used as an index of sympathetic nervous activity.

The HF analyzer 4550 compares and analyzes the strength PSD of the HF received from the frequency analyzer 3000 with predetermined HF reference data read from the database 5500. At this time, the HF reference data read from the database 5500 is the maximum HF reference data and the minimum HF reference data. That is, the HF analyzer 4550 compares whether the strength PSD of the HF received from the frequency analyzer 3000 is less than or equal to the maximum HF reference data and greater than or equal to the minimum HF reference data. In the present invention, when the sex of the subject input from the data input unit 5500 is male, the reference data of the predetermined HF intensity read from the database 5500 is a coefficient of -0.034, an intercept 6.23, and a standard deviation of 1.19, and thus the male HF intensity Equation 36 for the maximum reference value and the minimum reference value. In the present invention, the reference data of predetermined HF intensity read from the database 5500 when the gender of the test subject inputted from the data input unit 5500 is female is a coefficient of -0.035, an intercept 6.39, and a standard deviation of 1.16. Equation 37 for the maximum reference value and the minimum reference value of.

y _max = -0.034x + 6.23 + 1.19 = -0.034x + 7.42

y _min = -0.034x + 6.23-1.19 = -0.034x + 5.04

y _max = -0.038x + 6.75 + 1.01 = -0.038x + 7.76

y _min = -0.038x + 6.75-1.01 = -0.038x + 5.74

Where y _max is the maximum reference for HF intensity, y _min is the minimum reference for HF intensity, and x is age (age). Where the unit of HF intensity is ms ² / Hz.

The strength of HF is an index of the parasympathetic nervous system's activity and is known to be closely related to the electrical stability of the heart. In general, as HF increases, the overall HRV increases.

The normalized LF analyzer 4600 receives the normalized LF intensity (PSD) from the frequency analyzer 3000, and also receives the sex and age of the examinee from the database 5500. The maximum reference value and the minimum reference value of the LF intensity normalized by Equation 21 are obtained from reference data of predetermined normalized LF intensity read from the database 5500 according to the gender of the examinee. The normalized LF intensity received from the frequency analyzer 3000 is compared with the maximum reference value and the minimum reference value of the normalized LF intensity. That is, the normalized LF analyzer 4600 may have a normalized LF intensity received from the frequency analyzer 3000 less than or equal to the maximum reference value of the normalized LF intensity, which is a reference range of the normalized LF intensity, and the normalized LF intensity. Compare greater than or equal to the minimum threshold.

The normalized HF analyzer 4650 receives the normalized HF intensity (PSD) from the frequency analyzer 3000, and also receives the sex and age of the subject from the database 5500. The maximum reference value and the minimum reference value of HF intensity normalized by Equation 21 are obtained from reference data of predetermined normalized HF intensity read from the database 5500 according to the gender of the examinee. The normalized HF intensity received from the frequency analyzer 3000 is compared with the maximum reference value and the minimum reference value of the normalized HF intensity. That is, the normalized HF analyzer 4650 may have a normalized HF intensity received from the frequency analyzer 3000 less than or equal to a maximum reference value of the normalized HF intensity, which is a reference range of the normalized HF intensity, and normalized HF intensity. Compare greater than or equal to the minimum threshold.

As shown in Equation 15, the normalized LF strength means the ratio of the strength of the LF when the sum of the strength of the LF and the HF is 100, and as shown in Equation 16, the normalized HF strength is When the sum of the strength and the strength of the HF is 100, the ratio of the HF occupies. This is an important index for evaluating the balance between sympathetic and parasympathetic nerves with the band intensity ratio of LF to HF.

The intensity ratio analyzer 4700 receives the intensity ratio of the LF to HF band from the frequency analyzer 3000, and also receives the sex and age of the examinee from the database 5500. The maximum reference value and the minimum reference value of the intensity ratio are obtained from Equation 21 from reference data of the predetermined intensity ratio read from the database 5500 according to the gender of the examinee. The intensity ratio received from the frequency analyzer 3000 is compared with the maximum reference value and the minimum reference value of the intensity ratio. That is, the intensity ratio analyzer 4700 compares the intensity ratio received from the frequency analyzer 3000 to be less than or equal to the maximum reference value of the intensity ratio, which is the reference range of the intensity ratio, and greater than or equal to the minimum reference value of the intensity ratio. do. In the present invention, the reference data of the predetermined intensity ratio read from the database 5500 when the gender of the test subject inputted from the data input unit 5500 is male is a coefficient of -0.015, an intercept 3.57, and a standard deviation 2.0. Equation 38 for the maximum reference value and the minimum reference value. In the present invention, the reference data of the predetermined intensity ratio read from the database 5500 when the gender of the test subject inputted from the data input unit 5500 is a female is a coefficient of -0.003, an intercept 2.04, and a standard deviation of 2.07. Equation 39 for the maximum reference value and the minimum reference value of.

y _max = -0.015x + 3.57 + 2.0 = -0.015x + 5.57

y _min = -0.015x + 3.57-2.0 = -0.015x + 1.57

y _max = -0.003x + 2.04 + 2.07 = -0.003x + 4.11

y _min = -0.003x + 2.04-2.07 = -0.003x -0.03

Where y _max is the maximum threshold of intensity ratios, y _min is the minimum threshold of intensity ratios, and x is age (age). When y _min obtained by the equations 38 and 39 is smaller than 0, the value is 0.

In the frequency analyzer 3000, an emotional state and a mental stress index (MSI) are calculated by Equation 18, that is, by a band strength ratio of LF to HF. Therefore, the intensity ratio analyzer 4700 is to compare the emotional state (Emotional State), mental stress (Mental stress index) (MSI).

The band strength ratio of LF to HF refers to the ratio between LF and HF, which reflects the overall balance of sympathetic and parasympathetic nerves, ie autonomic nerves. In some cases, the band strength ratio of LF to HF is used as an index for sympathetic activity. The band intensity ratio of LF to HF is proportional to the activity of the sympathetic nerve and inversely to the activity of the parasympathetic nerve.

12 is an example of displaying a stress index on the analysis result display unit of FIG. 2.

The result of the analysis shows the stress index on the screen of the display unit 6000. The pressure index (PI) represents the physical stress index (PSI), and the band intensity ratio of the LF to HF represents the emotional state ( Emotional State, Mental stress index (MSI).

The present invention is not limited to the above described and illustrated in the drawings, and of course, more modifications and variations are possible to those skilled in the art within the scope of the following claims.

As described above, the autonomic examination device of the present invention quantitatively analyzes the degree of pressure, the degree of emotional state, the degree of mental stress, removes the noise and improves the accuracy, and is suitable for Asians including Korea and Japan. With a database constructed by gender and age for reference, a more accurate analysis of physical, mental and emotional status, and general health status is provided.

In addition, the autonomic nervous system of the present invention can perform quantitative analysis on the activity of the autonomic nervous system, and analyze the activity of the sympathetic and parasympathetic nerves at the same time, check the degree of autonomic nervous system balance, predict the overall health state, stress Determine the degree of response to the body, determine the degree of acute / chronic response to stress, determine the degree of physical / mental stress, predict the risk of developing stress-related diseases, and easily determine the degree of fatigue of a subject. In addition, it can predict the electrical stability of the heart and autonomic neurological analysis of functional digestive disorders.

Figure 1a is an example of heart rate changes in normal people.

1B is an example of heart rate change in a diseased person.

FIG. 2 is a block diagram schematically illustrating a configuration of an autonomic nervous apparatus according to an exemplary embodiment of the present invention.

3 is a configuration diagram illustrating the signal detector of FIG. 2.

FIG. 4 is a block diagram illustrating the configuration of the peak detector of FIG. 2.

5 is a flowchart for describing a peak detector of FIG. 2.

FIG. 6 is a block diagram illustrating a configuration of a time analyzer of FIG. 2.

7 is an example of power spectrum density (PSD) in the major frequency band of a HRV signal.

FIG. 8 is a block diagram illustrating a configuration of the frequency analyzer of FIG. 2.

9 is an example of average heart rate according to age of Korean men.

10 is an example of average heart rate according to age of Korean women.

FIG. 11 is a block diagram illustrating a configuration of a parameter analyzer of FIG. 2.

12 is an example of displaying a stress index on the analysis result display unit of FIG. 2.

Claims (40)

delete delete delete delete delete A signal detector for detecting an ECG signal or an oxygen saturation signal from the body of the examinee; An A / D converter for converting the output signal of the signal detector into a digital signal; A peak detector detecting an R point and an RR interval of an electrocardiogram signal from an output signal of the A / D converter; a dynamic noise canceller configured to remove dynamic noise from an output signal of the peak detector; and an output signal of the dynamic noise canceller A time analyzer for obtaining a parameter on a time domain including a mean heart rate from the time domain; A frequency analyzer for obtaining a parameter on a frequency domain from an output signal of the noise reduction unit; A data input unit configured to temporarily store and input subject information including gender and age; A database storing data for setting a reference range according to gender, age and parameters of Asians; In the autonomic nervous system having a; and a parameter analyzer for comparing whether the parameters output from the time analyzer and the frequency analyzer is within the reference range, The parameter analyzer includes at least an average heart rate analysis unit for comparing the average heart rate received from the time analyzer to be less than or equal to the average heart rate maximum reference value and greater than or equal to the average heart rate minimum reference value, The average heart rate analysis unit, When the gender of the examinee inputted from the data input unit is a male, The average heart rate maximum reference value (y _max ) is y _max = -0.1x + 89.1 Saved by The average heart rate minimum reference value (y _min ) is y _min = -0.1x + 67.1 Saved by In this case, y _max and y _min are the maximum reference value and the minimum reference value of the average heart rate, and x is an autonomic nervous system, characterized in that the age (age). A signal detector for detecting an ECG signal or an oxygen saturation signal from the body of the examinee; An A / D converter for converting the output signal of the signal detector into a digital signal; A peak detector detecting an R point and an RR interval of an electrocardiogram signal from an output signal of the A / D converter; a dynamic noise canceller configured to remove dynamic noise from an output signal of the peak detector; and an output signal of the dynamic noise canceller A time analyzer for obtaining a parameter on a time domain including a mean heart rate from the time domain; A frequency analyzer for obtaining a parameter on a frequency domain from an output signal of the noise reduction unit; A data input unit configured to temporarily store and input subject information including gender and age; A database storing data for setting a reference range according to gender, age and parameters of Asians; In the autonomic nervous system having a; and a parameter analyzer for comparing whether the parameters output from the time analyzer and the frequency analyzer is within the reference range, The parameter analyzer includes at least an average heart rate analysis unit for comparing the average heart rate received from the time analyzer to be less than or equal to the average heart rate maximum reference value and greater than or equal to the average heart rate minimum reference value, The average heart rate analysis unit, When the gender of the examinee inputted from the data input unit is a female, The average heart rate maximum reference value (y _max ) is y _max = -0.16x + 91.1 Saved by The average heart rate minimum reference value (y _min ) is y _min = -0.16x + 71.1 Saved by In this case, y _max and y _min are the maximum reference value and the minimum reference value of the average heart rate, x is an autonomic nervous system, characterized in that the age (age). delete A signal detector for detecting an ECG signal or an oxygen saturation signal from the body of the examinee; An A / D converter for converting the output signal of the signal detector into a digital signal; A peak detector detecting an R point and an RR interval of an electrocardiogram signal from an output signal of the A / D converter; a dynamic noise canceller configured to remove dynamic noise from an output signal of the peak detector; and an output signal of the dynamic noise canceller A time analyzer for obtaining a parameter on a time domain including a standard deviation of the total RR intervals from the time domain; A frequency analyzer for obtaining a parameter on a frequency domain from an output signal of the noise reduction unit; A data input unit configured to temporarily store and input subject information including gender and age; A database storing data for setting a reference range according to gender, age and parameters of Asians; In the autonomic nervous system having a; and a parameter analyzer for comparing whether the parameters output from the time analyzer and the frequency analyzer is within the reference range, The parameter analyzer includes at least an SDNN analyzer for comparing whether the SDNN (standard deviation of the entire RR intervals) received from the time analyzer is smaller than or equal to the SDNN maximum reference value and greater than or equal to the SDNN minimum reference value. The SDNN analysis unit, When the gender of the examinee inputted from the data input unit is a male, The SDNN maximum reference value (y _max ) is y _max = -0.52x + 80.4 Saved by The SDNN minimum reference value (y _min ) is y _min = -0.52x + 40.4 Saved by The y _max and y _min is the maximum reference value and the minimum reference value of SDNN, x is the age (age) and, y _max, y _min eases is smaller than 0, the value of the autonomic nervous system testing device characterized in that to zero. A signal detector for detecting an ECG signal or an oxygen saturation signal from the body of the examinee; An A / D converter for converting the output signal of the signal detector into a digital signal; A peak detector detecting an R point and an RR interval of an electrocardiogram signal from an output signal of the A / D converter; a dynamic noise canceller configured to remove dynamic noise from an output signal of the peak detector; and an output signal of the dynamic noise canceller A time analyzer for obtaining a parameter on a time domain including a standard deviation of the total RR intervals from the time domain; A frequency analyzer for obtaining a parameter on a frequency domain from an output signal of the noise reduction unit; A data input unit configured to temporarily store and input subject information including gender and age; A database storing data for setting a reference range according to gender, age and parameters of Asians; In the autonomic nervous system having a; and a parameter analyzer for comparing whether the parameters output from the time analyzer and the frequency analyzer is within the reference range, The parameter analyzer includes at least an SDNN analyzer for comparing whether the SDNN (standard deviation of the entire RR intervals) received from the time analyzer is smaller than or equal to the SDNN maximum reference value and greater than or equal to the SDNN minimum reference value. The SDNN analysis unit, When the gender of the examinee inputted from the data input unit is a female, The SDNN maximum reference value (y _max ) is y _max = -0.44x + 71.1 Saved by The SDNN minimum reference value (y _min ) is y _min = -0.44x + 38.9 Saved by The y _max and y _min is the maximum reference value and the minimum reference value of SDNN, x is the age (age) and, y _max, y _min eases is smaller than 0, the value of the autonomic nervous system testing device characterized in that to zero. delete A signal detector for detecting an ECG signal or an oxygen saturation signal from the body of the examinee; An A / D converter for converting the output signal of the signal detector into a digital signal; A peak detector detecting an R point and an RR interval of an electrocardiogram signal from an output signal of the A / D converter; a dynamic noise canceller configured to remove dynamic noise from an output signal of the peak detector; and an output signal of the dynamic noise canceller A time analysis unit for obtaining a parameter on a time domain including a square root of the mean (RMSSD) of a value obtained by squaring the difference between adjacent RR intervals from the time domain; A frequency analyzer for obtaining a parameter on a frequency domain from an output signal of the noise reduction unit; A data input unit configured to temporarily store and input subject information including gender and age; A database storing data for setting a reference range according to gender, age and parameters of Asians; In the autonomic nervous system having a; and a parameter analyzer for comparing whether the parameters output from the time analyzer and the frequency analyzer is within the reference range, The parameter analyzer comprises at least an RMSSD analyzer for comparing the RMSSD (square root of the mean of the squared values) received from the time analyzer to be less than or equal to the RMSSD maximum reference value and greater than or equal to the RMSSD minimum reference value, The RMSSD analysis unit When the gender of the examinee inputted from the data input unit is a male, The RMSSD maximum reference value (y _max ) is y _max = -0.35x + 56.9 Saved by The RMSSD minimum reference value (y _min ) is y _min = -0.35x + 26.1 Saved by The y _max and y _min is the maximum reference value and the minimum reference value of RMSSD, x is the age (age) and, y _max, y _min eases is smaller than 0, the value of the autonomic nervous system testing device characterized in that to zero. A signal detector for detecting an ECG signal or an oxygen saturation signal from the body of the examinee; An A / D converter for converting the output signal of the signal detector into a digital signal; A peak detector detecting an R point and an RR interval of an electrocardiogram signal from an output signal of the A / D converter; a dynamic noise canceller configured to remove dynamic noise from an output signal of the peak detector; and an output signal of the dynamic noise canceller A time analysis unit for obtaining a parameter on a time domain including a square root of the mean (RMSSD) of a value obtained by squaring the difference between adjacent RR intervals from the time domain; A frequency analyzer for obtaining a parameter on a frequency domain from an output signal of the noise reduction unit; A data input unit configured to temporarily store and input subject information including gender and age; A database storing data for setting a reference range according to gender, age and parameters of Asians; In the autonomic nervous system having a; and a parameter analyzer for comparing whether the parameters output from the time analyzer and the frequency analyzer is within the reference range, The parameter analyzer comprises at least an RMSSD analyzer for comparing the RMSSD (square root of the mean of the squared values) received from the time analyzer to be less than or equal to the RMSSD maximum reference value and greater than or equal to the RMSSD minimum reference value, The RMSSD analysis unit, When the gender of the examinee inputted from the data input unit is a female, The RMSSD maximum reference value (y _max ) is y _max = -0.35x + 58.9 Saved by The RMSSD minimum reference value (y _min ) is y _min = -0.35x + 27.5 Saved by The y _max and y _min is the maximum reference value and the minimum reference value of RMSSD, x is the age (age) and, y _max, y _min eases is smaller than 0, the value of the autonomic nervous system testing device characterized in that to zero. delete A signal detector for detecting an ECG signal or an oxygen saturation signal from the body of the examinee; An A / D converter for converting the output signal of the signal detector into a digital signal; A peak detector detecting an R point and an RR interval of an electrocardiogram signal from an output signal of the A / D converter; a dynamic noise canceller configured to remove dynamic noise from an output signal of the peak detector; and an output signal of the dynamic noise canceller A time analyzer for obtaining a parameter on a time domain including a continuous RR gap (SRD) from the time domain; A frequency analyzer for obtaining a parameter on a frequency domain from an output signal of the noise reduction unit; A data input unit configured to temporarily store and input subject information including gender and age; A database storing data for setting a reference range according to gender, age and parameters of Asians; In the autonomic nervous system having a; and a parameter analyzer for comparing whether the parameters output from the time analyzer and the frequency analyzer is within the reference range, The parameter analyzer includes an SRD analyzer for comparing the SRD (continuous RR gap) received from the time analyzer to be smaller than or equal to an SRD maximum reference value and greater than or equal to an SRD minimum reference value. The SRD analysis unit, When the gender of the examinee inputted from the data input unit is a male, The SRD maximum reference value (y _max ) is y _max = 0.0009x + 1.05 Saved by The SRD minimum reference value (y _min ) is y _min = 0.0009x + 0.79 Saved by In this case, y _max and y _min are the maximum reference value and the minimum reference value of the SRD, x is an autonomic nervous system, characterized in that the age (age). A signal detector for detecting an ECG signal or an oxygen saturation signal from the body of the examinee; An A / D converter for converting the output signal of the signal detector into a digital signal; A peak detector detecting an R point and an RR interval of an electrocardiogram signal from an output signal of the A / D converter; a dynamic noise canceller configured to remove dynamic noise from an output signal of the peak detector; and an output signal of the dynamic noise canceller A time analyzer for obtaining a parameter on a time domain including a continuous RR gap (SRD) from the time domain; A frequency analyzer for obtaining a parameter on a frequency domain from an output signal of the noise reduction unit; A data input unit configured to temporarily store and input subject information including gender and age; A database storing data for setting a reference range according to gender, age and parameters of Asians; In the autonomic nervous system having a; and a parameter analyzer for comparing whether the parameters output from the time analyzer and the frequency analyzer is within the reference range, The parameter analyzer includes an SRD analyzer for comparing the SRD (continuous RR gap) received from the time analyzer to be smaller than or equal to an SRD maximum reference value and greater than or equal to an SRD minimum reference value. The SRD analysis unit, When the gender of the examinee inputted from the data input unit is a female, The SRD maximum reference value (y _max ) is y _max = 0.0013x + 1.01 Saved by The SRD minimum reference value (y _min ) is y _min = 0.0013x + 0.79 Saved by In this case, y _max and y _min are the maximum reference value and the minimum reference value of the SRD, x is an autonomic nervous system, characterized in that the age (age). delete A signal detector for detecting an ECG signal or an oxygen saturation signal from the body of the examinee; An A / D converter for converting the output signal of the signal detector into a digital signal; A peak detector detecting an R point and an RR interval of an electrocardiogram signal from an output signal of the A / D converter; a dynamic noise canceller configured to remove dynamic noise from an output signal of the peak detector; and an output signal of the dynamic noise canceller A time analysis unit for obtaining a parameter on a time domain including a compression index (PI) from the; A frequency analyzer for obtaining a parameter on a frequency domain from an output signal of the noise reduction unit; A data input unit configured to temporarily store and input subject information including gender and age; A database storing data for setting a reference range according to gender, age and parameters of Asians; In the autonomic nervous system having a; and a parameter analyzer for comparing whether the parameters output from the time analyzer and the frequency analyzer is within the reference range, The parameter analyzer includes a PI analyzer that compares a PI (compression index) received from the time analyzer to be less than or equal to a PI maximum reference value and greater than or equal to a PI minimum reference value. The PI analysis unit, When the gender of the examinee inputted from the data input unit is a male, The PI maximum reference value (y _max ) is y _max = 1.88x + 13.9 Saved by The PI minimum reference value (y _min ) is y _min = 1.88x-40.1 Saved by The y _max and y _min is the maximum reference value and the minimum reference value of PI, x is the age (age) and, y _max, y _min eases is smaller than 0, the value of the autonomic nervous system testing device characterized in that to zero. A signal detector for detecting an ECG signal or an oxygen saturation signal from the body of the examinee; An A / D converter for converting the output signal of the signal detector into a digital signal; A peak detector detecting an R point and an RR interval of an electrocardiogram signal from an output signal of the A / D converter; a dynamic noise canceller configured to remove dynamic noise from an output signal of the peak detector; and an output signal of the dynamic noise canceller A time analysis unit for obtaining a parameter on a time domain including a compression index (PI) from the; A frequency analyzer for obtaining a parameter on a frequency domain from an output signal of the noise reduction unit; A data input unit configured to temporarily store and input subject information including gender and age; A database storing data for setting a reference range according to gender, age and parameters of Asians; In the autonomic nervous system having a; and a parameter analyzer for comparing whether the parameters output from the time analyzer and the frequency analyzer is within the reference range, The parameter analyzer includes a PI analyzer that compares a PI (compression index) received from the time analyzer to be less than or equal to a PI maximum reference value and greater than or equal to a PI minimum reference value. The PI analysis unit, When the gender of the examinee inputted from the data input unit is a female, The PI maximum reference value (y _max ) is y _max = 1.54x + 29.7 Saved by The PI minimum reference value (y _min ) is y _min = 1.54x-30.3 Saved by Wherein y _max and y _min are the maximum and minimum reference values of PI, x is the age (age), and y _max and y _min are less than zero when the value is 0. delete A signal detector for detecting an ECG signal or an oxygen saturation signal from the body of the examinee; An A / D converter for converting the output signal of the signal detector into a digital signal; A peak detector detecting an R point and an RR interval of an electrocardiogram signal from an output signal of the A / D converter; a dynamic noise canceller configured to remove dynamic noise from an output signal of the peak detector; and an output signal of the dynamic noise canceller A time analyzer for obtaining a parameter on a time domain from the time domain; A frequency analyzer for obtaining a parameter on a frequency domain including a total intensity (TP) for 5 minutes from the output signal of the noise reduction unit; A data input unit configured to temporarily store and input subject information including gender and age; A database storing data for setting a reference range according to gender, age and parameters of Asians; In the autonomic nervous system having a; and a parameter analyzer for comparing whether the parameters output from the time analyzer and the frequency analyzer is within the reference range, The parameter analyzer includes a TP analyzer that compares the received TP (the total intensity (power spectrum density) for 5 minutes) received from the frequency analyzer to be less than or equal to the TP maximum reference value and greater than or equal to the TP minimum reference value. The TP analysis unit, When the gender of the examinee inputted from the data input unit is a male, The TP maximum reference value y _max is y _max = -0.031x + 8.93 Saved by The TP minimum reference value (y _min ) is y _min = -0.031x + 7.07 Saved by Wherein y _max and y _min are the maximum and minimum reference values of TP, and x is an autonomic nervous system, characterized in that the age (age). A signal detector for detecting an ECG signal or an oxygen saturation signal from the body of the examinee; An A / D converter for converting the output signal of the signal detector into a digital signal; A peak detector detecting an R point and an RR interval of an electrocardiogram signal from an output signal of the A / D converter; a dynamic noise canceller configured to remove dynamic noise from an output signal of the peak detector; and an output signal of the dynamic noise canceller A time analyzer for obtaining a parameter on a time domain from the time domain; A frequency analyzer for obtaining a parameter on a frequency domain including a total intensity (TP) for 5 minutes from the output signal of the noise reduction unit; A data input unit configured to temporarily store and input subject information including gender and age; A database storing data for setting a reference range according to gender, age and parameters of Asians; In the autonomic nervous system having a; and a parameter analyzer for comparing whether the parameters output from the time analyzer and the frequency analyzer is within the reference range, The parameter analyzer includes a TP analyzer that compares the received TP (the total intensity (power spectrum density) for 5 minutes) received from the frequency analyzer to be less than or equal to the TP maximum reference value and greater than or equal to the TP minimum reference value. The TP analysis unit, When the gender of the examinee inputted from the data input unit is a female, The TP maximum reference value y _max is y _max = -0.27x + 8.61 Saved by The TP minimum reference value (y _min ) is y _min = -0.27x + 6.89 Saved by Wherein y _max and y _min are the maximum and minimum reference values of TP, and x is an autonomic nervous system, characterized in that the age (age). delete delete A signal detector for detecting an ECG signal or an oxygen saturation signal from the body of the examinee; An A / D converter for converting the output signal of the signal detector into a digital signal; A peak detector detecting an R point and an RR interval of an electrocardiogram signal from an output signal of the A / D converter; a dynamic noise canceller configured to remove dynamic noise from an output signal of the peak detector; and an output signal of the dynamic noise canceller A time analyzer for obtaining a parameter on a time domain from the time domain; A frequency analyzer for obtaining a parameter on a frequency domain including a low frequency band (LF) intensity (power spectrum) from an output signal of the noise reduction unit; A data input unit configured to temporarily store and input subject information including gender and age; A database storing data for setting a reference range according to gender, age and parameters of Asians; In the autonomic nervous system having a; and a parameter analyzer for comparing whether the parameters output from the time analyzer and the frequency analyzer is within the reference range, The parameter analyzer includes an LF analyzer that compares the LF (low frequency band) intensity (power spectrum density) received from the frequency analyzer to be less than or equal to the maximum reference value of the LF intensity and greater than or equal to the minimum reference value of the LF intensity. , The LF analysis unit, When the gender of the examinee inputted from the data input unit is a male, The LF maximum reference value (y _max ) is y _max = -0.044x + 8.38 Saved by The LF minimum reference value (y _min ) is y _min = -0.044x + 6.22 Saved by Wherein y _max and y _min are the maximum and minimum reference values of LF, and x is an age (age). A signal detector for detecting an ECG signal or an oxygen saturation signal from the body of the examinee; An A / D converter for converting the output signal of the signal detector into a digital signal; A peak detector detecting an R point and an RR interval of an electrocardiogram signal from an output signal of the A / D converter; a dynamic noise canceller configured to remove dynamic noise from an output signal of the peak detector; and an output signal of the dynamic noise canceller A time analyzer for obtaining a parameter on a time domain from the time domain; A frequency analyzer for obtaining a parameter on a frequency domain including a low frequency band (LF) intensity (power spectrum) from an output signal of the noise reduction unit; A data input unit configured to temporarily store and input subject information including gender and age; A database storing data for setting a reference range according to gender, age and parameters of Asians; In the autonomic nervous system having a; and a parameter analyzer for comparing whether the parameters output from the time analyzer and the frequency analyzer is within the reference range, The parameter analyzer includes an LF analyzer that compares the LF (low frequency band) intensity (power spectrum density) received from the frequency analyzer to be less than or equal to the maximum reference value of the LF intensity and greater than or equal to the minimum reference value of the LF intensity. , The method of claim 1, wherein the LF analysis unit, When the gender of the examinee inputted from the data input unit is a female, The LF maximum reference value (y _max ) is y _max = -0.038x + 7.76 Saved by The LF minimum reference value (y _min ) is y _min = -0.038x + 5.74 Saved by Wherein y _max and y _min are the maximum and minimum reference values of LF, and x is an age (age). delete A signal detector for detecting an ECG signal or an oxygen saturation signal from the body of the examinee; An A / D converter for converting the output signal of the signal detector into a digital signal; A peak detector detecting an R point and an RR interval of an electrocardiogram signal from an output signal of the A / D converter; a dynamic noise canceller configured to remove dynamic noise from an output signal of the peak detector; and an output signal of the dynamic noise canceller A time analyzer for obtaining a parameter on a time domain from the time domain; A frequency analyzer for obtaining a parameter on a frequency domain including a high frequency band (HF) intensity (power spectrum) from the output signal of the noise reduction unit; A data input unit configured to temporarily store and input subject information including gender and age; A database storing data for setting a reference range according to gender, age and parameters of Asians; In the autonomic nervous system having a; and a parameter analyzer for comparing whether the parameters output from the time analyzer and the frequency analyzer is within the reference range, The parameter analyzer includes an HF analyzer for comparing HF (high frequency band) intensity (power spectrum density) received from the frequency analyzer to be less than or equal to the maximum reference value of the HF intensity and greater than or equal to the minimum reference value of the HF intensity. , The HF analysis unit, When the gender of the examinee inputted from the data input unit is a male, The HF maximum reference value (y _max ) is y _max = -0.034x + 7.42 Saved by The minimum HF reference value (y _min ) is y _min = -0.034x + 5.04 Saved by In this case, y _max and y _min are the maximum reference value and the minimum reference value of HF, and x is an autonomic nervous system, characterized in that the age (age). A signal detector for detecting an ECG signal or an oxygen saturation signal from the body of the examinee; An A / D converter for converting the output signal of the signal detector into a digital signal; A peak detector detecting an R point and an RR interval of an electrocardiogram signal from an output signal of the A / D converter; a dynamic noise canceller configured to remove dynamic noise from an output signal of the peak detector; and an output signal of the dynamic noise canceller A time analyzer for obtaining a parameter on a time domain from the time domain; A frequency analyzer for obtaining a parameter on a frequency domain including a high frequency band (HF) intensity (power spectrum) from the output signal of the noise reduction unit; A data input unit configured to temporarily store and input subject information including gender and age; A database storing data for setting a reference range according to gender, age and parameters of Asians; In the autonomic nervous system having a; and a parameter analyzer for comparing whether the parameters output from the time analyzer and the frequency analyzer is within the reference range, The parameter analyzer includes an HF analyzer for comparing HF (high frequency band) intensity (power spectrum density) received from the frequency analyzer to be less than or equal to the maximum reference value of the HF intensity and greater than or equal to the minimum reference value of the HF intensity. , The HF analysis unit, When the gender of the examinee inputted from the data input unit is a female, The HF maximum reference value (y _max ) is y _max = -0.038x + 7.76 Saved by The minimum HF reference value (y _min ) is y _min = -0.038x + 5.74 Saved by In this case, y _max and y _min are the maximum and minimum reference values of HF, x is an autonomic nervous system, characterized in that the age (age). delete delete A signal detector for detecting an ECG signal or an oxygen saturation signal from the body of the examinee; An A / D converter for converting the output signal of the signal detector into a digital signal; A peak detector detecting an R point and an RR interval of an electrocardiogram signal from an output signal of the A / D converter; a dynamic noise canceller configured to remove dynamic noise from an output signal of the peak detector; and an output signal of the dynamic noise canceller A time analyzer for obtaining a parameter on a time domain from the time domain; A frequency analyzer for obtaining a parameter on a frequency domain including a normalized LF (low frequency band) intensity (power spectrum density) and a normalized HF (high frequency band) intensity (power spectrum density) from the output signal of the dynamic noise canceller; A data input unit configured to temporarily store and input subject information including gender and age; A database storing data for setting a reference range according to gender, age and parameters of Asians; In the autonomic nervous system having a; and a parameter analyzer for comparing whether the parameters output from the time analyzer and the frequency analyzer is within the reference range, The parameter analysis unit, Normalized LF comparing the normalized LF (low frequency band) intensity (power spectrum density) received from the frequency analyzer to less than or equal to the maximum reference value of the normalized LF intensity and greater than or equal to the minimum reference value of the normalized LF intensity Analysis, A normalized HF (high frequency band) intensity (power spectrum density) received from the frequency analyzer is compared to be less than or equal to the maximum reference value of the normalized HF intensity and greater than or equal to the minimum reference value of the normalized HF intensity. HF analysis unit, The normalized LF intensity is obtained by normalizing the LF (low frequency band) intensity (power spectrum density) to the sum of the intensity of the LF and the intensity of the HF, The normalized HF intensity, HF (high frequency band) intensity (power spectrum density) is a normalized autonomic examination device characterized in that the sum of the strength of the LF and the strength of the HF. delete A signal detector for detecting an ECG signal or an oxygen saturation signal from the body of the examinee; An A / D converter for converting the output signal of the signal detector into a digital signal; A peak detector detecting an R point and an RR interval of an electrocardiogram signal from an output signal of the A / D converter; a dynamic noise canceller configured to remove dynamic noise from an output signal of the peak detector; and an output signal of the dynamic noise canceller A time analyzer for obtaining a parameter on a time domain from the time domain; A frequency analyzer for obtaining a parameter on a frequency domain including a low frequency band high frequency band strength ratio (LF / HF ratio), an emotional state (ES), and a mental stress index (MSI) from the output signal of the noise removal unit; A data input unit configured to temporarily store and input subject information including gender and age; A database storing data for setting a reference range according to gender, age and parameters of Asians; In the autonomic nervous system having a; and a parameter analyzer for comparing whether the parameters output from the time analyzer and the frequency analyzer is within the reference range, The parameter analyzer includes an intensity ratio analyzer for comparing the low frequency band high frequency band intensity ratio received from the frequency analyzer to be less than or equal to the maximum reference value of the intensity ratio and greater than or equal to the minimum reference value of the intensity ratio, The intensity ratio analysis unit, When the gender of the examinee inputted from the data input unit is a male, The maximum intensity ratio reference value y _max is y _max = -0.015x + 5.57 Saved by The strength ratio minimum reference value (y _min ) is y _min = -0.015x + 1.57 Saved by Wherein y _max and y _min are the maximum and minimum reference values of the intensity ratio, x is the age (age), and when y _min is less than zero, the value is 0. A signal detector for detecting an ECG signal or an oxygen saturation signal from the body of the examinee; An A / D converter for converting the output signal of the signal detector into a digital signal; A peak detector detecting an R point and an RR interval of an electrocardiogram signal from an output signal of the A / D converter; a dynamic noise canceller configured to remove dynamic noise from an output signal of the peak detector; and an output signal of the dynamic noise canceller A time analyzer for obtaining a parameter on a time domain from the time domain; A frequency analyzer for obtaining a parameter on a frequency domain including a low frequency band high frequency band strength ratio (LF / HF ratio), an emotional state (ES), and a mental stress index (MSI) from the output signal of the noise removal unit; A data input unit configured to temporarily store and input subject information including gender and age; A database storing data for setting a reference range according to gender, age and parameters of Asians; In the autonomic nervous system having a; and a parameter analyzer for comparing whether the parameters output from the time analyzer and the frequency analyzer is within the reference range, The parameter analyzer includes an intensity ratio analyzer for comparing the low frequency band high frequency band intensity ratio received from the frequency analyzer to be less than or equal to the maximum reference value of the intensity ratio and greater than or equal to the minimum reference value of the intensity ratio, The intensity ratio analysis unit, When the gender of the examinee inputted from the data input unit is a female, The maximum intensity ratio reference value y _max is y _max = -0.003x + 4.11 Saved by The strength ratio minimum reference value (y _min ) is y _min = -0.003x -0.03 Saved by Wherein y _max and y _min are the maximum and minimum reference values of the intensity ratio, x is the age (age), and when y _min is less than zero, the value is 0. delete A signal detector for detecting an ECG signal or an oxygen saturation signal from the body of the examinee; An A / D converter for converting the output signal of the signal detector into a digital signal; A peak detector for detecting an R point and an RR interval of an ECG signal from an output signal of the A / D converter; Difference between an average heart rate (mean HRT), a standard deviation of total RR intervals (SDNN), and adjacent RR intervals from an output signal of the peak detector, and a noise removal unit for removing the noise from the output signal of the peak detector; A time analyzer comprising a time calculator for calculating a root mean square (RMSSD) of a squared value, a continuous RR interval (SRD), and a compression index (PI); a very low frequency band from an output signal of the noise canceller; (VLF) Strength (Power Spectral Density) (PSD), Low Frequency Band (LF) Strength (PSD), High Frequency Band (HF) Strength (PSD), 5 Minute Full Strength (TP), Low Frequency Band (normalized LF) ), A frequency analyzer for obtaining a normalized intensity (HF) of a high frequency band, a low frequency band high frequency band strength ratio (LF / HF ratio), an emotional state (ES), and a mental stress index (MSI); A data input unit configured to temporarily store and input subject information including gender and age; A database storing data for setting a reference range according to gender, age and parameters of Asians; In the autonomic nervous system having a; and a parameter analyzer for comparing whether the parameters output from the time analyzer and the frequency analyzer is within the reference range, In the frequency analyzer Emotional State (ES) LFnorm is obtained by normalizing the low frequency band (LF) strength (PSD) to the sum of the low frequency band (LF) strength (PSD) and the high frequency band (HF) strength (PSD), and HFnorm is the low frequency band. (LF) Autonomic neural examination apparatus characterized in that the normalized to the sum of the low frequency band (LF) strength (PSD) and the high frequency band (HF) strength (PSD). A signal detector for detecting an ECG signal or an oxygen saturation signal from the body of the examinee; An A / D converter for converting the output signal of the signal detector into a digital signal; A peak detector for detecting an R point and an RR interval of an ECG signal from an output signal of the A / D converter; Difference between an average heart rate (mean HRT), a standard deviation of total RR intervals (SDNN), and adjacent RR intervals from an output signal of the peak detector, and a noise removal unit for removing the noise from the output signal of the peak detector; A time analyzer comprising a time calculator for calculating a root mean square (RMSSD) of a squared value, a continuous RR interval (SRD), and a compression index (PI); a very low frequency band from an output signal of the noise canceller; (VLF) Strength (Power Spectral Density) (PSD), Low Frequency Band (LF) Strength (PSD), High Frequency Band (HF) Strength (PSD), 5 Minute Full Strength (TP), Low Frequency Band (normalized LF) ), A frequency analyzer for obtaining a normalized intensity (HF) of a high frequency band, a low frequency band high frequency band strength ratio (LF / HF ratio), an emotional state (ES), and a mental stress index (MSI); A data input unit configured to temporarily store and input subject information including gender and age; A database storing data for setting a reference range according to gender, age and parameters of Asians; In the autonomic nervous system having a; and a parameter analyzer for comparing whether the parameters output from the time analyzer and the frequency analyzer is within the reference range, In the frequency analyzer Mental stress index (MSI) is LFnorm is obtained by normalizing the low frequency band (LF) strength (PSD) to the sum of the low frequency band (LF) strength (PSD) and the high frequency band (HF) strength (PSD), and HFnorm is the low frequency band. (LF) Autonomic neural examination apparatus characterized in that the normalized to the sum of the low frequency band (LF) strength (PSD) and the high frequency band (HF) strength (PSD). A signal detector for detecting an ECG signal or an oxygen saturation signal from the body of the examinee; An A / D converter for converting the output signal of the signal detector into a digital signal; A peak detector for detecting an R point and an RR interval of an ECG signal from an output signal of the A / D converter; Difference between an average heart rate (mean HRT), a standard deviation of total RR intervals (SDNN), and adjacent RR intervals from an output signal of the peak detector, and a noise removal unit for removing the noise from the output signal of the peak detector; A time analyzer comprising a time calculator for calculating a root mean square (RMSSD) of a squared value, a continuous RR interval (SRD), and a compression index (PI); a very low frequency band from an output signal of the noise canceller; (VLF) Strength (Power Spectral Density) (PSD), Low Frequency Band (LF) Strength (PSD), High Frequency Band (HF) Strength (PSD), 5 Minute Full Strength (TP), Low Frequency Band (normalized LF) ), A frequency analyzer for obtaining a normalized intensity (HF) of a high frequency band, a low frequency band high frequency band strength ratio (LF / HF ratio), an emotional state (ES), and a mental stress index (MSI); A data input unit configured to temporarily store and input subject information including gender and age; A database storing data for setting a reference range according to gender, age and parameters of Asians; In the autonomic nervous system having a; and a parameter analyzer for comparing whether the parameters output from the time analyzer and the frequency analyzer is within the reference range, In the time analysis unit Compression Index (PI) Where VS is the range of RR interval variation, MO is the most probable meaning of RR interval among RR interval data, and MOA is the most frequent average of RR interval in RR interval data. autonomic examination device, characterized in that the number of probable meaning), that is, the number of MO. A signal detector for detecting an ECG signal or an oxygen saturation signal from the body of the examinee; An A / D converter for converting the output signal of the signal detector into a digital signal; A peak detector for detecting an R point and an RR interval of an ECG signal from an output signal of the A / D converter; Difference between an average heart rate (mean HRT), a standard deviation of total RR intervals (SDNN), and adjacent RR intervals from an output signal of the peak detector, and a noise removal unit for removing the noise from the output signal of the peak detector; A time analyzer having a time calculator for calculating a root mean square (RMSSD) of a squared value, a continuous RR interval (SRD), and a physical stress index (PSI); a very low frequency from an output signal of the noise canceller; Band (VLF) strength (power spectrum density) (PSD), low frequency band (LF) strength (PSD), high frequency band (HF) strength (PSD), 5 minutes total intensity (TP), normalized intensity of low frequency band (normalized) LF), a normalized HF of a high frequency band, a frequency analyzer for obtaining a low frequency band high frequency band strength ratio (LF / HF ratio), an emotional state (ES), and a mental stress index (MSI); A data input unit configured to temporarily store and input subject information including gender and age; A database storing data for setting a reference range according to gender, age and parameters of Asians; In the autonomic nervous system having a; and a parameter analyzer for comparing whether the parameters output from the time analyzer and the frequency analyzer is within the reference range, In the time analysis unit Physical Stress Index (PSI) Where VS is the range of RR interval variation, MO is the most probable meaning of RR interval among RR interval data, and MOA is the most frequent average of RR interval in RR interval data. autonomic examination device, characterized in that the number of probable meaning), that is, the number of MO.