CN114631824A - Electric digital processing platform and processing method applied to dynamic electrocardiograph - Google Patents

Abstract

The invention provides an electric digital processing platform and a processing method applied to a dynamic electrocardiograph, which are applied to the technical field of medical instruments; detecting electrocardiosignals of a corresponding part of a human body, inputting the electrocardiosignals into an input end of an electrocardio detection electrode, converting an electrocardio digital signal at an output end of the electrocardio detection electrode, and returning electrocardio signal processing data; receiving electrocardiosignal processing data, and feeding back the electrocardiosignal processing data to a preset dynamic electrocardio display instrument; comparing the electrocardiosignal processing data with electrocardiosignals of the corresponding part of the human body; according to the invention, the abnormal condition of the electric digit is corrected by changing the electric digit transmission format, so that the abnormal condition generated in the transmission of the electric digit data is effectively reduced; the invention reduces the probability of signal interference on the electric digital data and effectively reduces the accompanying abnormal condition during the transmission of the electric digital data by converting the electric digital data and processing the electric digital data.

Description

Electric digital processing platform and processing method applied to dynamic electrocardiograph

technical field

The invention relates to the technical field of medical display, in particular to an electric digital processing platform and a processing method applied to a dynamic electrocardiograph.

Background technique

The dynamic electrocardiograph (HOLTER for short) has gone through nearly half a century from its birth, development and perfection. Its ECG signal measurement has gradually developed from single-lead, double-lead to three-lead, until in recent years, the world has developed a 12-lead synchronous ECG that can be used in clinical practice, marking the development of the dynamic electrocardiograph monitoring lead system. Complete. The Holter monitor can continuously record all ECGs of the patient within 24 hours. Whether myocardial ischemia or arrhythmia, whether persistent or paroxysmal, can be detected by ECG examinations recorded by a Holter monitor.

The dynamic electrocardiograph must be connected to the contact electrodes at the designated position on the surface of the human body through a set of wires, and the electrocardiographic signal at the corresponding position can be detected by the contact electrodes, and the dynamic electrocardiograph can trace the electrocardiogram. The line connected between the dynamic electrocardiograph and the contact electrodes is called an electrocardiogram lead. With the gradual development and improvement of the electrocardiographic measurement lead system, ECG signal measurement has evolved from single-lead, dual-lead, and three-lead ECG to the 12-lead ECG currently used in clinical practice, and even 18-lead ECG. Signal. Because there are too many lead wires, especially the 12 and 18 lead wire bundles are too large and too thick, in the actual clinical use, it is very easy to cause the lead contact electrodes to fall off or have poor contact, which is also very uncomfortable. In addition, because the lead wires are too long and too many, they are also easily interfered by various external electromagnetic signals, resulting in confusion in the data of the electrocardiograph. , even extremely weak interference signals will directly affect the recording, analysis and diagnosis results of ECG signals, which can easily lead to missed diagnosis and misdiagnosis, which is extremely detrimental to the treatment of the disease. In order to prevent this kind of interference, the existing electrocardiograph needs to perform multi-stage electronic filtering and digital filtering processing on the signal of each lead, as well as many measures such as screen screen, resulting in the high cost of the existing dynamic electrocardiograph, It is too large, inconvenient to use, and unable to enter ordinary homes, making the public, especially the sub-healthy people, unaware of the development of cardiovascular disease, the first "killer" that threatens their lives, until it has entered a high-risk period.

In view of this, in view of the problems raised by the above background technology, the present invention provides an electrical digital processing platform and processing method applied to a Holter monitor, so as to solve the problem that the electrical display numbers of the Holter monitor are incorrectly displayed due to signal interference.

SUMMARY OF THE INVENTION

The present invention aims to solve the problem that the digital display of a dynamic electrocardiograph is incorrectly affected by signal interference, and provides a processing platform and a processing method for the electro digital processing of the dynamic electrocardiograph.

The present invention provides an electrical digital processing platform applied to a dynamic electrocardiograph, comprising:

The processing module is used to detect the ECG signal of the corresponding part of the human body, and input the ECG signal to the input terminal of the ECG detection electrode; the output terminal of the ECG detection electrode transforms and processes the ECG digital signal, and returns the ECG signal processing data; Receive the ECG signal processing data, and feed it back on the preset dynamic ECG display instrument; compare the ECG signal processing data with the ECG signal of the corresponding part of the human body;

The judgment module is used for judging that if the ECG signal processing data is compatible with the data form of the ECG signal of the corresponding part of the human body, the ECG signal processing data is not affected by signal interference and is normal ECG signal processing data; If the signal processing data does not match the data form of the ECG signal of the corresponding part of the human body, the ECG signal processing data is affected by signal interference, and is abnormal ECG signal processing data, then returns to the ECG detection electrode output terminal for re-transformation processing The ECG digital signal is used for secondary processing of the ECG signal processing data through the output terminal of the ECG detection electrode.

Further, the processing module also includes:

a detection subunit, used for detecting the ECG signal of the corresponding part of the human body, and inputting the ECG signal to the input terminal of the ECG detection electrode;

The processing sub-unit is used to transform and process the ECG digital signal at the output end of the ECG detection electrode, and return the ECG signal processing data;

The feedback sub-unit is used for receiving the ECG signal processing data, and feeding it back on the preset dynamic ECG display instrument.

Further, the judgment module also includes:

a comparison subunit, configured to compare the ECG signal processing data with the ECG signal of the corresponding part of the human body;

A selection subunit, used for if the ECG signal processing data is adapted to the data form of the ECG signal of the corresponding part of the human body, the ECG signal processing data is not affected by signal interference, and is a normal ECG signal Processing data; if the ECG signal processing data does not match the data form of the ECG signal of the corresponding part of the human body, the ECG signal processing data is affected by signal interference, and is abnormal ECG signal processing data, Then, it returns to the output terminal of the ECG detection electrode to re-transform and process the ECG digital signal, and re-process the ECG signal processing data through the output terminal of the ECG detection electrode.

The present invention also provides an electrical digital processing method applied to a dynamic electrocardiograph, comprising:

S1: Detect the ECG signal of the corresponding part of the human body, and input the ECG signal to the input terminal of the ECG detection electrode;

S2: The output terminal of the ECG detection electrode transforms and processes the ECG digital signal, and returns the ECG signal processing data;

S3: Receive ECG signal processing data, and feed it back on the preset dynamic ECG display device;

S4: Compare the ECG signal processing data with the ECG signal of the corresponding part of the human body;

S5: If the ECG signal processing data is adapted to the data form of the ECG signal of the corresponding part of the human body, the ECG signal processing data is not affected by signal interference, and is normal ECG signal processing data,

S6: If the ECG signal processing data does not match the data format of the ECG signal of the corresponding part of the human body, the ECG signal processing data is affected by signal interference and is abnormal ECG signal processing data, then Returning to step S2, secondary processing is performed on the ECG signal processing data again through the ECG detection electrode output terminal.

Further, before the step of the electrocardiographic signal of the corresponding part of the human body, it also includes:

The preset Holter monitor is connected to the Holter,

The data of the Holter monitor is synchronously transmitted to the Holter monitor, and the data of the Holter includes a data body for reading the human body, a data body for analyzing the human body, and a data body for recording the human body;

The ambulatory electrocardiograph displays the data of the ambulatory electrocardiograph for a short period of time and feeds back it on the ambulatory electrocardiograph.

Further, in the step of converting the ECG digital signal at the output end of the ECG detection electrode, it also includes:

The process of processing the ECG digital signal includes signal sampling, signal quantization and signal encoding,

The signal sampling is to extract the sample values of the ECG digital signal at equal intervals, so that the continuous ECG digital signal becomes a discrete signal;

Described semaphore word is, converts the extracted ECG digital signal sample value into the closest digital value to represent the size of the extracted sample value;

The signal encoding is that the quantized value of the signal is represented by a group of binary numbers;

After the process of signal sampling, signal quantization and signal encoding, the digitization of the ECG digital signal can be completed, and the ECG signal processing data can be obtained.

Further, before returning to the step of processing the ECG signal, it also includes:

The ECG signal processing data is returned to the input end of the ECG detection electrode, and the digital signal of the ECG signal processing data is restored to an analog signal through a digital-to-analog conversion operation, and the converted analog signal is obtained as ECG detection. The signal format adapted to the electrode output;

The signal format adapted to the output end of the ECG detection electrode includes sound or image,

When the signal format adapted to the output end of the ECG detection electrode is transmitted to the output end of the ECG detection electrode, when the signal format adapted to the output end of the ECG detection electrode is a frequency, it is a sound;

When the signal format adapted to the output end of the ECG detection electrode is transmitted to the output end of the ECG detection electrode, and the signal format adapted to the output end of the ECG detection electrode is text, it is an image.

Further, after the step of feeding back the preset dynamic electrocardiogram display device, it also includes:

Incremental update is performed together with the dynamic electrocardiograph data briefly recorded by the dynamic electrocardiograph display instrument for the first time together with the electrocardiographic signal processing data,

The dynamic electrocardiograph data recorded briefly for the first time includes the pulse frequency of the human body, the oxygen content of the human body and the body temperature of the human body;

The ECG signal processing data includes the breathing frequency of the human body, the systolic frequency of the human body and the diastolic frequency of the human body.

Further, in the step of comparing the ECG signal processing data with the ECG signal of the corresponding part of the human body, it also includes:

The comparison process of the ECG signal processing data and the ECG signal of the corresponding part of the human body includes: comparing whether the data recording unit of the human body is abnormal and whether the difference between the ECG signal processing data and the ECG signal is too large,

If the data recording unit of the human body is abnormal, such as the unit is disordered, reset the data recording unit of the human body through the dynamic electrocardiogram display device;

If the difference between the ECG signal processing data and the ECG signal is too large, a re-examination operation is performed on the ECG signal processing data and the ECG signal through the Holter.

Further, after the step of re-processing the ECG signal processing data through the ECG detection electrode output terminal, the method further includes:

Using morphological filtering to eliminate baseline drift on the ECG signal processing data,

Firstly, 49 flat structure elements are used to realize the morphological low-pass filter to obtain the baseline information. It is found through experiments that selecting a single flat structure element of 49 points presents a large chopping situation to the broad wave of the ECG signal, which makes the signal appear. distortion,

According to the characteristics of wide wave, a morphological low-pass filter is used to form a 147-point flat structure element to filter the baseline information of the first 49-point flat structure element low-pass filter, and there is no large chopping. The constant signal of the situation, in order to obtain the ECG signal processing data after the secondary processing.

The invention provides an electrical digital processing platform and a processing method applied to a dynamic electrocardiograph, and has the following beneficial effects:

1. The present invention corrects the abnormal situation of the electric digital by changing the transmission format of the electric digital, and effectively reduces the abnormal situation that occurs during the transmission of the electric digital data;

2. The present invention reduces the probability of the electrical digital data being interfered by the signal by converting and processing the electrical digital data, and effectively reduces the abnormal situation that occurs during the electrical digital data transmission.

Description of drawings

1 is a structural block diagram of an embodiment of the present invention applied to a dynamic electrocardiograph electrical digital processing platform;

Fig. 2 is a working schematic diagram of an embodiment of the present invention applied to an electrical digital processing method of a dynamic electrocardiograph;

The realization, functional features and advantages of the present invention will be further described with reference to the accompanying drawings in conjunction with the embodiments.

Detailed ways

It should be understood that the specific embodiments described herein are only used to explain the present invention, but not to limit the present invention.

The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are only a part of the embodiments of the present invention, rather than all the implementations. example. Based on the embodiments of the present invention, all other embodiments obtained by those of ordinary skill in the art without creative efforts shall fall within the protection scope of the present invention.

Referring to FIG. 1, it is an electrical digital processing platform applied in the field of electrical display according to an embodiment of the present invention, including:

The processing module 10 is used to detect the ECG signal of the corresponding part of the human body, and input the ECG signal to the input terminal of the ECG detection electrode; the output terminal of the ECG detection electrode transforms and processes the ECG digital signal, and returns the ECG signal processing data; In order to receive the ECG signal processing data, feedback it on the preset dynamic ECG display instrument; compare the ECG signal processing data with the ECG signal of the corresponding part of the human body;

The judgment module 20 is used for judging that if the ECG signal processing data is compatible with the data form of the ECG signal of the corresponding part of the human body, the ECG signal processing data is not affected by signal interference, and is normal ECG signal processing data; The electrical signal processing data does not match the data form of the ECG signal of the corresponding part of the human body, and the ECG signal processing data is affected by signal interference. If it is abnormal ECG signal processing data, it will be returned to the output terminal of the ECG detection electrode to restart. Perform secondary processing on the ECG signal processing data.

It can be understood that the processing module 10 also includes a detection subunit, a processing subunit and a feedback subunit; the detection subunit is used to detect the ECG signal of the corresponding part of the human body, and input the ECG signal to the ECG detection electrode input end; The processing subunit is used to transform and process the digital signal of the ECG at the output end of the ECG detection electrode, and return the processing data of the ECG signal; The judgment module 20 also includes: a comparison subunit and a selection subunit; the comparison subunit is used to compare the ECG signal processing data with the ECG signal of the corresponding part of the human body; If the signal processing data is adapted to the data form of the ECG signal of the corresponding part of the human body, the ECG signal processing data is not affected by signal interference, and it is the normal ECG signal processing data; If the data form of the electrical signal is not suitable, the ECG signal processing data will be affected by signal interference. If the processing data is abnormal ECG signal, it will return to the output terminal of the ECG detection electrode to re-transform and process the ECG digital signal. The electrode output terminal performs secondary processing on the ECG signal processing data again.

In a specific embodiment: the processing module 10 synchronously transmits the data of the Holter monitor to the Holter monitor, and the data of the Holter includes the data volume of reading the human body, the data volume of analyzing the human body and the data of recording the human body The Holter monitor records the data of the Holter monitor for a short time and feeds it back to the Holter monitor, and transmits the Holter monitor data to the input terminal of the ECG monitoring electrode, and the output terminal of the ECG monitoring electrode is passed through. Data processing, the processing process of ECG digital signal includes signal sampling, signal quantization and signal encoding. Signal processing data; ECG signal processing data is returned to the Holter monitor again through the ECG detection electrodes, and fed back to the Holter monitor; the judgment module 20 compares the ECG signal processing data with the data extracted by the first Holter monitor. Compare the data. If the ECG signal processing data is compatible with the data form of the ECG signal of the corresponding part of the human body, the ECG signal processing data is not affected by signal interference, and it is the normal ECG signal processing data. If the processed data does not match the data format of the ECG signal of the corresponding part of the human body, the ECG signal processing data will be affected by signal interference. If the processed data is abnormal ECG signal, then return to the ECG detection electrode output terminal to re-align the heart. The electrical signal processing data is subjected to secondary processing; the secondary processing process is to use morphological filtering to eliminate baseline drift on the ECG signal processing data.

Referring to FIG. 2, it is an electric digital processing method applied to a dynamic electrocardiograph in an embodiment of the present invention, including:

S1: Detect the ECG signal of the corresponding part of the human body, and input the ECG signal to the input terminal of the ECG detection electrode;

S2: The output terminal of the ECG detection electrode transforms and processes the ECG digital signal, and returns the ECG signal processing data;

S3: Receive ECG signal processing data, and feed it back on the preset dynamic ECG display device;

S4: Compare the ECG signal processing data with the ECG signal of the corresponding part of the human body;

S5: If the ECG signal processing data is adapted to the data form of the ECG signal of the corresponding part of the human body, the ECG signal processing data is not affected by signal interference, and is normal ECG signal processing data,

S6: If the ECG signal processing data does not match the data format of the ECG signal of the corresponding part of the human body, the ECG signal processing data is affected by signal interference and is abnormal ECG signal processing data, then Returning to step S2, secondary processing is performed on the ECG signal processing data again through the ECG detection electrode output terminal.

In a specific embodiment: the electrocardiographic signal corresponding to the human body is detected by the dynamic electrocardiograph, the electrocardiographic signal is fed back to the dynamic electrocardiographic display device, and simultaneously transmitted to the input end of the electrocardiographic monitoring electrode, and the electrocardiographic signal passes through the electrocardiographic monitoring electrode. The output terminal of the device is converted and processed to obtain the ECG signal processing data; the ECG signal processing data is returned to the Holter monitor through the ECG detection electrodes, and fed back to the Holter monitor again; Compare the format with the ECG signal processing data. If the format of the ECG signal and the ECG signal processing data match, the ECG signal processing data will not be disturbed by the signal; if the format of the ECG signal and the ECG signal processing data are different If they match, the ECG signal processing data is disturbed by the signal; the ECG signal processing data needs to be re-processed for the second time.

In one embodiment: before the step of the electrocardiographic signal of the corresponding part of the human body, the step further includes:

The preset Holter monitor is connected to the Holter,

The data of the Holter monitor is synchronously transmitted to the Holter monitor, and the data of the Holter includes a data body for reading the human body, a data body for analyzing the human body, and a data body for recording the human body;

The ambulatory electrocardiograph displays the data of the ambulatory electrocardiograph for a short period of time and feeds back it on the ambulatory electrocardiograph.

In a specific embodiment: the Holter monitor and the Holter monitor are integrated together, and comprehensive data analysis is performed through the obtained human body data to obtain a high-accuracy diagnostic analysis result;

For example: the dynamic electrocardiograph collects the human body signal and filters, and by analyzing the filter frequency and amplifying the filter, the interference suppression of the human body signal of the electrocardiogram signal is performed to complete the process of reading the human body data;

After the dynamic electrocardiograph reads the human body data, the human body data is processed in a centralized manner, and the human body data set to be determined is formed according to the preset normal human body data; the human body data with abnormality is searched from the read human body data. The data includes normal human body data that is higher or lower than a preset, and data fitting is performed according to the normal data and abnormal data in the data set to form a data fitting record corresponding to the human body data set, so as to complete the process of recording human body data.

In one embodiment: in the step of converting the ECG digital signal at the output end of the ECG detection electrode, it also includes:

The process of processing the ECG digital signal includes signal sampling, signal quantization and signal encoding,

The signal sampling is to extract the sample values of the ECG digital signal at equal intervals, so that the continuous ECG digital signal becomes a discrete signal;

The signal quantization is to convert the extracted ECG digital signal sample value into the closest digital value to represent the size of the extracted sample value;

The signal encoding is that the quantized value of the signal is represented by a group of binary numbers;

After the process of signal sampling, signal quantization and signal encoding, the digitization of the ECG digital signal can be completed, and the ECG signal processing data can be obtained.

In a specific embodiment: the time-continuous signal is converted into a series of time-discontinuous pulse signals, and this process is called sampling; the sampled pulse signal is a sampled signal, and the sampled signal is discrete on the time axis, but in the function The axis is still continuous;

The process that the sampling signal is transformed into a digital signal through integerization is called the integerization process, and the integerization process is a numerical layering process, that is, the rounding process;

The process of converting the quantized signal into binary code is coding, the quantization unit is the physical quantity represented by the lowest binary bit of the A/D converter, and the quantization error is ±2.

In one embodiment: before the step of returning the ECG signal processing data, the method further includes:

The ECG signal processing data is returned to the input end of the ECG detection electrode, and the digital signal of the ECG signal processing data is restored to an analog signal through a digital-to-analog conversion operation, and the converted analog signal is obtained as ECG detection. The signal format adapted to the electrode output;

The signal format adapted to the output end of the ECG detection electrode includes sound or image,

When the signal format adapted by the ECG detection electrode output terminal is transmitted to the ECG detection electrode output terminal, when the signal format adapted by the ECG detection electrode output terminal is a frequency, it is a sound;

When the signal format adapted to the output terminal of the ECG detection electrode is transmitted to the output terminal of the ECG detection electrode, and the signal format adapted to the output terminal of the ECG detection electrode is text, it is an image.

In a specific embodiment: different data must be converted into corresponding signals before they can be transmitted to each other, and analog signals are generally used for the processing of ECG digital signals.

For example: use a series of continuously changing electromagnetic waves or voltage signals; when the analog signal is represented by the continuously changing electromagnetic wave, the electromagnetic wave itself is the carrier and the transmission medium; and when the analog signal is represented by the continuously changing signal voltage , generally transmitted by the traditional analog signal transmission method; when the digital signal is represented by intermittently changing voltage, it is necessary to connect the two communication parties through a transmission medium such as a cable to convert the signal;

The analog signal and the digital signal can also be converted to each other. The analog signal is generally quantized into a digital signal by PCM pulse code modulation, and the digital signal is generally converted into an analog signal by phase-shifting the carrier.

In one embodiment: after the step of feeding back the preset dynamic electrocardiogram display device, it further includes:

Incremental update is carried out together with the dynamic electrocardiograph data briefly recorded by the dynamic electrocardiograph display instrument for the first time together with the electrocardiographic signal processing data,

The dynamic electrocardiograph data recorded briefly for the first time includes the pulse frequency of the human body, the oxygen content of the human body and the body temperature of the human body;

The ECG signal processing data includes the breathing frequency of the human body, the systolic frequency of the human body and the diastolic frequency of the human body.

In a specific embodiment: traverse the records, traverse each data record in the difference data recorded by the previous Holter monitor and the current Holter recorder, and perform a differential search;

For example: find the corresponding record, find the human body with the corresponding record according to the original data recorded by the Holter monitor, if the corresponding record is found in the original data, the information of the differential data will be differentiated and integrated into the Holter monitor, and the existing ones will be updated at the same time. If the corresponding record is not found in the original data, it means that the differential data is new data, and the data is compiled into a format suitable for the Holter monitor. Create a new block, save the data in the block and input it into the Holter monitor, and save the data to obtain the incrementally updated Holter monitor data.

In one embodiment: the step of comparing the ECG signal processing data with the ECG signal of the corresponding part of the human body further includes:

The comparison process of the ECG signal processing data and the ECG signal of the corresponding part of the human body includes: comparing whether the data recording unit of the human body is abnormal and whether the difference between the ECG signal processing data and the ECG signal is too large,

If the data recording unit of the human body is abnormal, such as the unit is disordered, reset the data recording unit of the human body through the dynamic electrocardiogram display device;

If the difference between the ECG signal processing data and the ECG signal is too large, a re-examination operation is performed on the ECG signal processing data and the ECG signal through the Holter.

In a specific embodiment: the heart sound envelopes and characteristic parameters of a plurality of preprocessed heart sound signals are extracted respectively, and the characteristic parameters include heart sounds, heart rate and duration in systole and diastole, and a frequency conversion homomorphic filtering method is used to adaptively filter except the noise of the heart sound signal,

Use adaptive dual thresholds to locate heart sounds in segments, identify heart sounds, systolic and diastolic heart rates and durations of heart rate cycles, and calculate heart rate based on heart sounds, systolic and diastolic heart rates and durations of heart rate cycles;

The systolic period of one cardiac cycle of the heart sound signal is divided into the heart sound period and the systolic murmur period, the diastolic period of one cardiac cycle of the heart sound signal is divided into the heart sound period and the diastolic murmur period, and the period percentage of the systolic murmur period and the diastolic murmur period is calculated, Determine the intensity of the heart sound and the intensity of the murmur;

For example, by comparing the heart rate in the diastolic period with the intensity of the diastolic murmur, if the heart rate is not proportional to the intensity, reset the data recording unit of the human body.

The characteristic parameters including heart sound, systolic and diastolic heart rate and duration are re-collected, and the same-frequency metamorphic filtering method is used to adaptively filter out the noise of the heart sound signal.

Second, adaptive dual thresholds are used to locate heart sounds in segments, identify the heart sounds, systolic and diastolic heart rates and durations of the heart rate cycle, and calculate the heart rate through the heart sounds, systolic and diastolic heart rates and durations of the heart rate cycle; To complete the reset operation of the human data recording unit.

In one embodiment: after the step of re-processing the ECG signal processing data through the ECG detection electrode output terminal, the method further includes:

Using morphological filtering to eliminate baseline drift on the ECG signal processing data,

Firstly, 49 flat structure elements are used to realize the morphological low-pass filter to obtain the baseline information. It is found through experiments that selecting a single flat structure element of 49 points presents a large chopping situation to the broad wave of the ECG signal, which makes the signal appear. distortion,

According to the characteristics of wide wave, a morphological low-pass filter is used to form a 147-point flat structure element to filter the baseline information of the first 49-point flat structure element low-pass filter, and there is no large chopping. In order to obtain the ECG signal processing data after secondary processing.

In a specific embodiment: the baseline drift noise seriously affects the ECG signal waveform, which greatly hinders the subsequent analysis of the results, so it is very important to effectively remove the baseline drift noise;

The traditional wavelet transform method is not effective in removing baseline drift, so this embodiment proposes to use different flat structure elements to realize the same low-pass filter,

Among them, 49 flat structure elements are used in the first stage, and 147 flat structure elements are used in the second stage. By filtering out the baseline information by the two-stage baseline drift, a higher signal-to-noise ratio and a smaller mean square error are obtained, improving the The recognition accuracy of the filtering is obtained, and the processed ECG data after the secondary processing is obtained.

Although embodiments of the present invention have been shown and described, it will be understood by those skilled in the art that various changes, modifications, and substitutions can be made in these embodiments without departing from the principle and spirit of the invention and modifications, the scope of the present invention is defined by the appended claims and their equivalents.

Claims (10)

1. An electric digital processing platform applied to a dynamic electrocardiograph, which is characterized by comprising:

the processing module is used for detecting electrocardiosignals of a corresponding part of a human body and inputting the electrocardiosignals to the input end of the electrocardio detection electrode; the output end of the electrocardio detection electrode processes electrocardio digital signals in a conversion way and returns electrocardio signal processing data; the electrocardiosignal processing device is used for receiving electrocardiosignal processing data and feeding the electrocardiosignal processing data back to a preset dynamic electrocardio display instrument; comparing the electrocardiosignal processing data with electrocardiosignals of the corresponding part of the human body;

the judging module is used for judging that if the electrocardiosignal processing data is matched with the data form of the electrocardiosignal of the corresponding part of the human body, the electrocardiosignal processing data is not influenced by signal interference and is normal electrocardiosignal processing data; if the data form of the electrocardiosignal processing data is not matched with that of the electrocardiosignal of the corresponding part of the human body, the electrocardiosignal processing data is influenced by signal interference and is abnormal electrocardiosignal processing data, the data is returned to the output end of the electrocardio detection electrode to be converted and processed again, and the electrocardiosignal processing data is processed again through the output end of the electrocardio detection electrode.

2. The electrical digital processing platform applied to the dynamic electrocardiograph according to claim 1, wherein the processing module further comprises:

the detection subunit is used for detecting the electrocardiosignals of the corresponding part of the human body and inputting the electrocardiosignals to the input end of the electrocardio detection electrode;

the processing subunit is used for converting the electrocardio digital signals at the output end of the electrocardio detection electrode and returning electrocardio signal processing data;

and the feedback subunit is used for receiving the electrocardiosignal processing data and feeding back the electrocardiosignal processing data to a preset dynamic electrocardio display instrument.

3. The electrical digital processing platform applied to the dynamic electrocardiograph according to claim 1, wherein the judging module further comprises:

the comparison subunit is used for comparing the electrocardiosignal processing data with the electrocardiosignals of the corresponding part of the human body;

the selection subunit is used for enabling the electrocardiosignal processing data not to be influenced by signal interference if the electrocardiosignal processing data is matched with the data form of the electrocardiosignal of the corresponding part of the human body, and the electrocardiosignal processing data is normal electrocardiosignal processing data; if the data form of the electrocardiosignal processing data is not matched with the data form of the electrocardiosignal of the corresponding part of the human body, the electrocardiosignal processing data is influenced by signal interference, the electrocardiosignal processing data is abnormal electrocardiosignal processing data, the electrocardiosignal processing data is returned to the output end of the electrocardio detection electrode to be converted and processed again, and the electrocardiosignal processing data is processed again through the output end of the electrocardio detection electrode.

4. An electrical digital processing method applied to a dynamic electrocardiograph, wherein the electrical digital processing method applied to the dynamic electrocardiograph is adopted to execute an electrical digital processing platform applied to the dynamic electrocardiograph according to any one of claims 1 to 3, and the electrical digital processing method applied to the dynamic electrocardiograph comprises the following steps:

s1: detecting an electrocardiosignal of a corresponding part of a human body, and inputting the electrocardiosignal to the input end of an electrocardio detection electrode;

s2: the output end of the electrocardio detection electrode processes electrocardio digital signals in a conversion way and returns electrocardio signal processing data;

s3: receiving electrocardiosignal processing data, and feeding back the electrocardiosignal processing data to a preset dynamic electrocardio display instrument;

s4: comparing the electrocardiosignal processing data with electrocardiosignals of corresponding parts of the human body;

s5: if the electrocardiosignal processing data is matched with the data form of the electrocardiosignal of the corresponding part of the human body, the electrocardiosignal processing data is not influenced by signal interference and is normal electrocardiosignal processing data;

s6: if the data form of the electrocardiosignal processing data is not matched with that of the electrocardiosignal of the corresponding part of the human body, the electrocardiosignal processing data is influenced by signal interference and is abnormal electrocardiosignal processing data, the step returns to the step S2, and the electrocardiosignal processing data is processed again through the output end of the electrocardio detection electrode.

5. The electrical digital processing method applied to the dynamic electrocardiograph according to claim 4, wherein before the step of detecting the electrocardiographic signals of the corresponding portion of the human body, the method further comprises:

a preset dynamic electrocardiograph display is connected with the dynamic electrocardiograph;

the data of the dynamic electrocardiograph is synchronously transmitted to the dynamic electrocardiograph display instrument, and the data of the dynamic electrocardiograph comprises a data body for reading a human body, a data body for analyzing the human body and a data body for recording the human body;

and the dynamic electrocardiogram display instrument records and feeds back the data of the dynamic electrocardiogram display instrument in a short time.

6. The electrical digital processing method applied to the dynamic electrocardiograph according to claim 4, wherein the step of processing the electrocardiographic digital signals by the conversion of the output end of the electrocardiograph detection electrode further comprises the steps of:

the processing process of the electrocardio digital signal comprises signal sampling, signal quantization and signal coding,

the signal sampling is to sample the sample values of the electrocardio digital signals at equal intervals so as to change the continuous electrocardio digital signals into discrete signals;

the semaphore is that the sampled electrocardio digital signal sample is converted into the closest digital value to represent the size of the sampled value;

the signal coding is that the value after the signal quantization is expressed by a group of binary numbers;

after the processes of signal sampling, signal quantization and signal coding, the digitization of the electrocardio digital signals can be finished, and electrocardio signal processing data can be obtained.

7. The electrical digital processing method applied to the dynamic electrocardiograph according to claim 4, wherein before the step of returning the processed data of the electrocardiograph signal, the method further comprises:

the electrocardiosignal processing data are returned to the input end of the electrocardio detection electrode, the digital signal of the electrocardiosignal processing data is restored into an analog signal through digital-to-analog conversion operation, and the converted analog signal is obtained and is in a signal format matched with the output end of the electrocardio detection electrode;

the signal format adapted to the output end of the electrocardio detection electrode comprises sound or images,

when the signal format matched with the output end of the electrocardio detection electrode is transmitted to the output end of the electrocardio detection electrode, the signal format matched with the output end of the electrocardio detection electrode is a frequency, and the signal format is a sound;

when the signal format adapted to the output end of the electrocardio detection electrode is transmitted to the output end of the electrocardio detection electrode, the signal format adapted to the output end of the electrocardio detection electrode is a text, and the signal format is an image.

8. The electrical digital processing method applied to the dynamic electrocardiograph according to claim 4, wherein the feedback is further included after the step of presetting the dynamic electrocardiograph display:

the data of the dynamic electrocardiograph temporarily recorded by the dynamic electrocardiograph display instrument for the first time and the electrocardiosignal processing data I are subjected to incremental updating,

the dynamic electrocardiograph data which are temporarily recorded for the first time comprise the pulse frequency of the human body, the oxygen content of the human body and the body temperature of the human body;

the electrocardiosignal processing data comprises the respiratory frequency of the human body, the contraction frequency of the human body and the relaxation frequency of the human body.

9. The electrical digital processing method applied to the dynamic electrocardiograph according to claim 4, wherein the step of comparing the processed data of the electrocardiograph signal with the electrocardiograph signal of the corresponding portion of the human body further comprises:

the comparison process of the electrocardiosignal processing data and the electrocardiosignals of the corresponding parts of the human body comprises the steps of comparing whether the data recording unit of the human body is abnormal or not and whether the difference between the electrocardiosignal processing data and the electrocardiosignals is too large or not,

if the data recording unit of the human body is abnormal, if the unit is disordered, resetting the data recording unit of the human body through a dynamic electrocardiogram display instrument;

if the difference between the electrocardiosignal processing data and the electrocardiosignals is too large, the electrocardiosignal processing data and the electrocardiosignals are subjected to rechecking operation through a dynamic electrocardiograph.

10. The electrical digital processing method applied to dynamic electrocardiograph according to claim 4, wherein after the step of performing the second processing on the electrocardiograph signal processing data again through the output end of the electrocardiograph detection electrode, the method further comprises:

the electrocardiosignal processing data is filtered morphologically to eliminate baseline drift,

firstly, 49 flat structural elements are adopted to realize a morphological low-pass filter to obtain baseline information, experiments show that the single flat structural element with 49 points presents a larger chopping condition to the wide wave of the electrocardiosignal to cause the distortion of the signal,

according to the characteristics of wide and large waves, a morphological low-pass filter consisting of 147-point flat structural elements is adopted to secondarily filter the baseline information passing through the first 49-point flat structural element low-pass filter, and constant signals without large chopping conditions are presented, so that the electrocardiosignal processing data after secondary processing are obtained.

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