CN115227248A - Meridian point measurement analyzer and health analysis method - Google Patents

Abstract

The present invention provides a meridian acupoint measuring analyzer and a health analysis method, wherein the meridian acupoint measuring analyzer is based on the measurement of meridian acupoints, and includes: a meridian acupoint electrical signal acquisition component and a computing device; wherein the meridian acupoint electrical signal acquisition component includes a measuring electrode and auxiliary electrodes, which are suitable for being fixed on the body surface; the measuring electrodes are used to sequentially contact each acupoint to be measured of a given individual to be measured, collect the electrical signal of each acupoint to be measured, and generate the information of the acupoint to be measured based on the electrical signal. The voltammetry characteristic data; the computing device is used to calculate and obtain the reference value of the meridian acupoints of the given individual to be tested based on the plurality of voltammetric characteristic data corresponding to the plurality of acupoints to be tested of the given individual to be tested; and based on the reference value of the acupoints of the meridians and collaterals , to obtain the offset value of each acupoint to be tested for a given individual to be tested, and the offset value is used for health analysis and evaluation. Improve the accuracy of meridian acupoint benchmark value evaluation for individuals.

Description

Meridian acupoint measurement analyzer and health analysis method

technical field

The invention relates to the field of computer technology, in particular to a meridian point measuring analyzer and a health analysis method.

Background technique

Meridians are channels that run qi and blood, connect viscera, body surface and the whole body, and are the regulation system of human body functions. In fact, meridians are not only the channels of qi and blood in traditional Chinese medicine, but also electrical channels, sound channels, light channels, microwave channels or chemical channels that can be measured with modern technology.

In recent years, the detection technology of meridian and acupoints has become more and more mature. Since the 1960s, scholars at home and abroad have proved through a large number of studies that there is a corresponding relationship between volt-ampere characteristics after applying microcurrent to acupoints on the skin.

At present, the traditional detection scheme determines the health characteristic value through a large number of samples, but the traditional detection scheme uses the health characteristic value determined through a large number of samples as the reference value, which cannot be accurately applied to the individual, and there is a problem of poor applicability in practical application.

SUMMARY OF THE INVENTION

The invention provides a meridian acupoint measuring analyzer and a method, which are used to solve the defect of poor applicability of reference values in the detection of meridian and acupoints in the prior art, realize the acquisition of meridian acupoint reference values targeted to individuals, and improve the applicability of individual reference values. sex.

In a first aspect, the present invention provides a meridian acupoint measuring analyzer, including: a meridian acupoint measuring analyzer, the meridian acupoint measuring analyzer is based on the measurement of meridian acupoints, including:

Meridian and acupoint electrical signal acquisition components and computing equipment;

in,

The meridian point electrical signal acquisition assembly includes a measuring electrode and an auxiliary electrode, the auxiliary electrode is sheet-like, and the auxiliary electrode is suitable for being fixed on the body surface; contacting the acupoints to be tested, collecting electrical signals of the acupoints to be tested, and generating voltammetric characteristic data of the acupoints to be tested based on the electrical signals;

The computing device is configured to calculate and obtain the reference value of the meridian and acupoints of the given individual to be tested based on a plurality of the voltammetric characteristic data corresponding to the multiple acupoints to be tested of the given individual to be tested; The reference value of the meridian and acupoints is obtained, and the offset value of each acupoint to be tested of the given individual to be tested is obtained, and the offset value is used for health analysis.

Optionally, the acupoints to be tested include any of the following groups or combinations thereof:

Liuyuan acupoint corresponding to the six meridians of the hand;

The Liuyuan point corresponding to the six meridians of the foot.

Optionally, the volt-ampere characteristic data is a voltage value.

Optionally, the computing device is configured to calculate and obtain the reference value of the meridian and acupoints of the given individual to be tested based on a plurality of the voltammetric characteristic data corresponding to a plurality of acupoints to be tested of the given individual to be tested. ,include:

The computing device is configured to take an average value of a plurality of the voltammetric characteristic data corresponding to a plurality of acupoints to be tested of the given individual to be tested, and use the average value as the meridian of the given individual to be tested Acupoint reference value.

Optionally, the computing device is configured to take an average value of a plurality of the voltammetric characteristic data corresponding to a plurality of acupoints to be tested of the given individual to be tested, and use the average value as the given value to be tested. Measure the benchmark values of individual meridian points, including:

The computing device is configured to obtain a confidence interval based on a plurality of the voltammetric characteristic data corresponding to a plurality of acupoints to be tested of the given individual to be tested, and average the voltammetric characteristic data based on the confidence interval, The average value is used as the reference value of the meridian and acupoints of the given individual to be tested.

Optionally, the computing device is configured to obtain a confidence interval based on a plurality of the voltammetric characteristic data corresponding to a plurality of acupoints to be tested of the given individual to be tested, and based on the confidence interval, compare the voltammetric characteristic data. Take the average value, and use the average value as the reference value of the meridian and acupoints of the given individual to be tested, including:

The computing device is configured to average the voltammetric characteristic data of a plurality of acupoints to be tested of the given individual to be tested to obtain a first average value;

The computing device is configured to obtain a standard deviation based on the first average value and voltammetric characteristic data of a plurality of acupoints to be tested of the given individual to be tested;

the computing device for obtaining a confidence interval based on the first mean, the standard deviation and a preset confidence level;

The computing device is configured to screen the voltammetric characteristic data of a plurality of acupoints to be tested of the given individual to be tested based on the confidence interval, to obtain the screening voltammetric characteristic data;

The computing device is used for averaging the screening voltammetric characteristic data to obtain a second average value;

The second average value is used as the reference value of the meridian and acupoints of the given individual to be tested.

Optionally, the preset letter level is 95%.

Optionally, the computing device is configured to take an average value of a plurality of the voltammetric characteristic data corresponding to a plurality of acupoints to be tested of the given individual to be tested, including:

The computing device is configured to average a plurality of the voltammetric characteristic data corresponding to a plurality of acupoints to be tested of the given individual to be tested based on a first preset formula;

The first preset formula is:

Among them, n is a positive integer, n represents the total number of the acupoints to be tested, x _n represents the voltammetric characteristic data of the nth acupoint to be tested, and x _max represents the voltammetric characteristic data of all the acupoints to be tested. The maximum value, x _min represents the minimum value in the voltammetric characteristic data of all the acupoints to be tested.

Optionally, the computing device is further configured to perform health analysis on each acupoint to be tested based on the offset value of each acupoint to be tested and a preset abnormality range classification.

Optionally, the computing device is further configured to perform a health analysis on each acupoint to be tested based on the offset value of each acupoint to be tested and a preset abnormality range classification, including:

The computing device is configured to determine that the acupoint to be tested corresponding to the offset value is normal when the offset value belongs to the range of [-50, 50];

The computing device is configured to determine that the acupoint to be tested corresponding to the offset value is slightly abnormal when the offset value belongs to the range of [-100, -50) or (50, 100];

The computing device is configured to determine that the acupoint to be tested corresponding to the offset value is moderately abnormal when the offset value belongs to the range of [-150, -100) or (100, 150];

The computing device is configured to determine that the acupoint to be tested corresponding to the offset value is severely abnormal when the offset value is less than -150 or greater than 150.

Optionally, the acupoints to be tested include the original left meridian and the original right meridian corresponding to the original left meridian one-to-one;

The volt-ampere characteristic data includes the original acupoint data of the left meridian and the original acupoint data of the right meridian corresponding to the original acupoint data of the left meridian one-to-one;

The computing device is further configured to acquire a difference between the original acupoint data of the left meridian and the original acupoint data of the right meridian corresponding to the original acupoint data of the left meridian one-to-one, and determine the left-right meridian imbalance degree based on the difference.

In a second aspect, the present invention also provides a health analysis method, applied to a computing device, including:

Acquiring the voltammetric characteristic data of each acupoint to be measured of a given individual to be measured collected by the meridian acupoint electrical signal acquisition component; wherein the voltammetric characteristic data is acquired by the measuring electrode and the auxiliary electrode, in In the acquisition state, the sheet-shaped auxiliary electrode is fixed on the body surface, and the measuring electrode is in contact with each acupoint to be measured of a given individual to be measured in turn;

Calculate and obtain the reference value of the meridian acupoints of the given individual to be tested based on the plurality of the voltammetric characteristic data corresponding to the plurality of acupoints to be tested of the given individual to be tested;

Based on the reference value of the meridian and acupoints, an offset value of each acupoint to be tested of the given individual to be tested is obtained, and the offset value is used for health analysis and assessment.

In a third aspect, the present invention also provides an electronic device, comprising a memory, a processor, and a computer program stored in the memory and running on the processor, the processor implementing the program as described in the second aspect when the processor executes the program health analysis method.

In a fourth aspect, the present invention also provides a non-transitory computer-readable storage medium on which a computer program is stored, and when the computer program is executed by a processor, implements the health analysis method described in the second aspect.

In a fifth aspect, the present invention also provides a computer program product, including a computer program, which implements the health analysis method according to the second aspect when the computer program is executed by a processor.

The meridian acupoint measurement analyzer provided by the embodiment of the present invention performs data analysis based on the voltammetric characteristic data of the acupoints to be measured for a given individual to be measured, and takes the acupoints to be measured for the given individual to be measured as the processing object to obtain the reference value, which only involves Given the data of the individual to be tested, it is more accurate and effective to evaluate the reference value of the meridian and acupoints for the given individual to be tested, so that the reference value can be applied to each specific individual, avoiding the problem of poor applicability of the reference value caused by the quantitative data of the sample, Improve the accuracy of the evaluation of meridian and acupoint benchmark values for individuals, realize the targeted quantitative evaluation of the collected objects, and improve the pertinence of data analysis.

Description of drawings

In order to explain the present invention or the technical solutions in the prior art more clearly, the following will briefly introduce the accompanying drawings that need to be used in the description of the embodiments or the prior art. Obviously, the accompanying drawings in the following description are the For some embodiments of the invention, for those of ordinary skill in the art, other drawings can also be obtained according to these drawings without any creative effort.

Fig. 1 is one of the structural representations of the meridian and acupoint measuring analyzer provided by the embodiment of the present invention;

Fig. 2 is the second structural schematic diagram of the meridian and acupoint measuring analyzer provided by the embodiment of the present invention;

3 is a schematic flowchart of a health analysis method provided by an embodiment of the present invention;

FIG. 4 is a schematic structural diagram of an electronic device provided by an embodiment of the present invention.

Detailed ways

In order to make the objectives, technical solutions and advantages of the present invention clearer, the technical solutions in the present invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are part of the embodiments of the present invention. , not all examples. 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.

Below is an introduction to the technical terms involved in the present invention:

Twelve meridians (twelve meridians): The twelve meridians are the main body of the meridian system, with the main characteristics of the combination of external and internal meridians and the corresponding zang-fu collaterals. Including the Three Yin Meridians of Hand (Lung Meridian of Hand Taiyin, Pericardial Meridian of Hand Jueyin, Heart Meridian of Hand Shaoyin), San Yang Meridian of Hand (Large Intestine Meridian of Hand Yangming, San Jiao Meridian of Hand Shaoyang, Small Intestine Meridian of Hand Taiyin), Sanyang Meridian of Foot (Foot Yangming Stomach Meridian, Foot Shaoyang Gallbladder Meridian, Foot Taiyin Bladder Meridian), Foot Sanyin Meridian (Foot Taiyin Spleen Meridian, Foot Jueyin Liver Meridian, Foot Shaoyin Kidney Meridian), also known as "serious meridians". The twelve main meridians are holographically corresponding to the six viscera and six fu-organs, and the twelve original acupoints are the most important acupoints for qi and blood transfusion in each main meridian, which can fully reflect the state of this meridian. According to the "Yellow Emperor's Internal Classic": "The meridians are the reason why people are born, the reason why the disease occurs, the reason why people are cured, and the reason why the disease arises." And the meridian "moves and divides the flesh, deep and invisible, and it floats up and down." The common ones are all collaterals and meridians”, and have the characteristics of “determining life and death, dealing with all kinds of diseases, regulating deficiency and excess, and must not be blocked”, so acupuncture “want to use micro-needles to open up the meridians, regulate the blood and qi, and control the meeting of ins and outs. , so that it can be passed on to future generations.” "Diseases in the five internal organs should be taken out of the twelve originals."

Meridian measurement is the product of the combination of TCM theory and modern technology. The meridian measurement data obtained by the bioconductance sensor can provide objective indicators for the research and application of traditional Chinese medicine.

Although the current conductometric acupoint evaluation has been accepted and used by many institutions, the current acupoint evaluation method collects multiple samples, that is, collects acupoint data of multiple individuals, and quantifies the benchmark value of acupoint data through large-scale data analysis. However, due to individual differences, such as age, gender, physical fitness or regional factors, the benchmark value obtained through the big data sample cannot be directly applied to each specific individual, and the benchmark value obtained through the big data sample needs to be In order to obtain a large number of samples, the cost of this method is very high due to the difficulty of sample acquisition, the errors in sample collection and the time cost required for sample analysis. Even though some methods can classify samples by factors such as age, gender, and region according to individual differences, and determine the benchmark value based on the classified samples, but due to too many influencing factors of individual differences, each influencing factor can be further refined into There are multiple conditions, so it is impossible to comprehensively cover all conditions and obtain a reference value that is completely consistent with the tested individual, and the refined sample collection and analysis will also bring greater cost problems.

In addition, due to the dynamic change of measurement time, measurement location and measurement object, it is difficult to grasp the reference point in the dynamic, so errors will also be introduced in the sample collection, which will bring about the problem of the accuracy of the calculation of the reference value.

In order to solve the above problems, the embodiment of the present invention proposes a meridian point measurement analyzer and method, which abandons the traditional meridian analysis system that selects the statistical values of multiple individuals as a benchmark when performing data analysis, and proposes a single individual-based point to be measured. The volt-ampere characteristic data of the data are analyzed to improve the pertinence of data analysis.

The following describes the meridian and acupoint measuring analyzer provided by the embodiment of the present invention with reference to FIG. 1 .

Fig. 1 is one of the structural schematic diagrams of the meridian acupoint measuring analyzer provided by the embodiment of the present invention. As shown in Fig. 1, the meridian acupoint measuring and analyzing instrument provided by the embodiment of the present invention includes: a meridian acupoint electrical signal acquisition component 110 and a computing device 120;

in,

The meridian point electrical signal acquisition component 110 includes a measurement electrode and an auxiliary electrode, the auxiliary electrode is sheet-shaped, and the auxiliary electrode is suitable for being fixed on the body surface; the measurement electrode is used to sequentially connect with each of the given individual to be measured. contacting the acupoint to be tested, collecting the electrical signal of the acupoint to be tested, and generating voltammetric characteristic data of the acupoint to be tested based on the electrical signal;

In one embodiment, FIG. 2 is the second structural schematic diagram of the meridian acupoint measuring analyzer provided by the embodiment of the present invention. As shown in FIG. 2 , the computer and the meridian acupoint electrical signal collection in the meridian acupoint measuring analyzer provided by the embodiment of the present invention are collected. The components can be connected through USB, the computing device can be a PC computer, the PC computer can be a desktop computer or a notebook computer, etc., the computing device has an idle USB interface, and is compatible with the USB1.1 protocol; One interface, one USB interface, used to connect with the computer; one 4-pin aviation socket, one of which is connected to the auxiliary electrode, and the other three contacts are connected to the measuring electrode and the test chamber. Optionally, two contacts can be connected to the test chamber. A contact is connected to the measuring electrode. The measuring electrodes can be smeared with saline to facilitate electrical conduction, and are clamped on the acupoints to be tested for a given individual to be tested.

Specifically, the meridian acupoints have low resistance characteristics, and by inputting a small amount of current or a small amount of voltage, electrical signals can be obtained from the meridian acupoints, and the electrical signals can be acquired by the meridian point electrical signal acquisition component 110. It should be understood that the electrical signals are analog The electrical signal acquisition component 110 of the meridian and acupoints can convert the electrical signal through analog-to-digital conversion to obtain a digital quantity, that is, volt-ampere characteristic data, so as to facilitate the calculation by the computing device 120. The volt-ampere characteristic data may be any one or a combination of the following: current value; voltage value; current-voltage volt-ampere characteristic curve; current-time volt-ampere characteristic curve; current-time volt-ampere characteristic curve. In the case of applying a trace current, the voltammetric characteristic data should at least include the voltage value or voltage characteristic curve of the acupoint to be measured; in the case of applying a trace voltage, the voltammetric characteristic data should at least include the current value of the acupoint to be measured. or the current characteristic curve. It should be understood that the above is an example for the convenience of understanding the present invention, and should not constitute any limitation of the present invention, and the data that can reflect the bioelectric characteristics of meridian acupoints should be within the protection scope of the present invention.

The computing device 120 is configured to calculate and obtain the reference value of the meridian and acupoints of the given individual to be tested based on a plurality of the voltammetric characteristic data corresponding to the multiple acupoints to be tested of the given individual to be tested; For the reference value of the meridian and acupoints, the offset value of each acupoint to be tested of the given individual to be tested is obtained, and the offset value is used for health analysis.

Since the original acupoint responds quickly to changes in the internal environment and is not sensitive to the external environment, the original acupoint can be used as the acupoint to be tested for data collection. It should be understood that the above are examples for facilitating the understanding of the present invention, and should not constitute any limitation to the present invention.

The acupoints to be tested belong to the same given individual to be tested, so the voltammetric characteristic data is the measurement data of the meridian acupoints of the given individual to be tested. By processing the measurement data of the meridian and acupoints of the given individual to be tested, the reference value of the meridian and acupoints of the given individual to be tested is obtained. The processing method may include calculating the volt-ampere characteristic data through a preset formula or inputting it into a neural network for prediction.

Optionally, the acupoints to be tested of the same given individual to be tested can be collected and calculated multiple times, the reference value of meridian acupoints can be calculated based on the voltammetric characteristic data of the same given individual to be tested for multiple times, and the reference value of the acupoints of the meridian and collaterals can be increased. accuracy.

By comparing each acupoint to be tested with a reference value, an offset value is obtained, and the offset value can be used for health analysis of the given individual to be tested. The health problem of the given individual to be tested is determined; the degree of health of the given individual to be tested is determined by the offset degree of the offset value.

For a specific individual, the data collection time, season, environment, and the state of the individual themselves all have an impact on the electrical signal collection. For example, for a given individual A to be tested, the detection is performed at different times on the same day, and the acupuncture points are detected. The corresponding volt-ampere characteristic data are all different, and the reference value also has certain changes. If the reference value is determined based on big data (for example, a large-sample reference value is determined based on the volt-ampere characteristic data of 100 sample individuals), because the sample collection time cannot be guaranteed. The data collection time of the voltammetric characteristic of a given individual to be tested is exactly the same. Even if the data collection time of the sample and the given individual to be tested can be guaranteed to be the same, it cannot be guaranteed that the sample and the given individual to be tested are located in the season, environment and other external factors. The same, even if the external environment can be further kept the same, it cannot guarantee that the psychological state of the sample and the individual is completely consistent, so the benchmark value determined based on big data cannot be accurately applied to the given individual to be tested, and for each given Collecting samples under the same detection conditions for all test individuals will result in high costs and cannot be practically applied in reality. Therefore, the meridian acupoint measurement analyzer provided by the embodiment of the present invention performs data analysis based on the voltammetric characteristic data of the acupoints to be measured for a given individual to be measured, and obtains the reference value by taking the acupoints to be measured for the given individual to be measured as the processing object, It only involves the data of the given individual to be tested, and the reference value obtained by the detection is the reference value of the given individual to be tested. Accurately and effectively evaluate the reference value of the meridian and acupoints for the given individual to be tested, so that the reference value can be applied to each individual. For specific individuals, it avoids the problem of poor applicability of benchmark values caused by sample quantitative data, improves the accuracy of meridian acupoint benchmark value evaluation for individuals, realizes targeted quantitative evaluation of the collected objects, and improves the pertinence of data analysis.

Optionally, the computing device 120 is configured to calculate and obtain the voltammetric characteristic data of the given individual to be tested based on a plurality of the voltammetric characteristic data corresponding to a plurality of acupoints to be tested of the given individual to be tested currently collected. Meridian acupoint reference value; and based on the meridian acupoint reference value, obtain the offset value of each acupoint to be tested of the given individual to be tested, the offset value is the current real-time value, and the offset value is used for Health Analysis.

In the following, a possible implementation manner of the above-mentioned system in a specific embodiment will be further described.

Optionally, the acupoints to be tested include any of the following groups or combinations thereof:

Liuyuan acupoint corresponding to the six meridians of the hand;

The Liuyuan point corresponding to the six meridians of the foot.

Specifically, the Liuyuan acupoints corresponding to the Sixth Meridian of Hand are: Taiyuan acupoint corresponding to the Lung Meridian of Hand Taiyin, Daling acupoint corresponding to the Heart Meridian of Hand Jueyin, Shaohai Point corresponding to the Heart Meridian of Hand Shaoyin, and acupoint corresponding to the Large Intestine Meridian of Hand Yangming Hegu Point, Yangchi Point corresponding to Sanjiao Meridian of Hand Shaoyang, and wrist Valley Point corresponding to Small Intestine Meridian of Hand Taiyang; Liuyuan Point corresponding to Sixth Foot Meridian: Taibai Point corresponding to Spleen Meridian of Foot Taiyin, Taibai Point corresponding to Liver Meridian of Foot Jueyin Chong Point, Taixi Point corresponding to Kidney Meridian of Foot Shaoyin, Chongyang Point corresponding to Stomach Meridian of Foot Yangming, Qiuxu Point corresponding to Gallbladder Meridian of Foot Shaoyang, and Jinggu Point corresponding to Bladder Meridian of Foot Taiyang.

It should be understood that the six meridians of the hand are divided into left and right sides, so the six original acupoints corresponding to the sixth meridian of the hand are divided into the left and right sides, a total of 12 points; the sixth meridian of the foot is further divided into the left and right sides, so the six corresponding The original acupoints are divided into left and right sides, with a total of 12 acupoints; when the acupoints to be tested are the combination of the Liuyuan acupoints corresponding to the sixth meridian of the hand and the Liuyuan acupoints corresponding to the sixth meridian of the foot, there are a total of 24 acupoints to be tested.

The meridian acupoint measurement analyzer proposed in the embodiment of the present invention uses the original acupoint as the acupoint to be measured, and based on the characteristics of the original acupoint responding quickly to changes in the internal environment and being insensitive to the external environment, the obtained meridian acupoint reference value can be used for Evaluate the internal health of the human body.

Optionally, the volt-ampere characteristic data is a voltage value.

Specifically, when a tiny current is passed to a given individual to be tested, the acquired volt-ampere characteristic data is a voltage value. The voltage value can be the data obtained after the voltage is stabilized, or it can be the voltage value corresponding to a specific time, and the voltage value obtained after 1s is collected (the collection device is in contact with the given individual to be measured).

The meridian acupoint measuring analyzer proposed in the embodiment of the present invention uses a tiny current as a constant current source, which will not cause damage to a given individual to be measured, and the obtained voltage value can directly reflect the numerical situation of the acupoint to be measured, which is convenient for data processing. .

Optionally, the computing device 120 is configured to calculate and obtain the meridian and acupoint benchmarks of the given individual to be tested based on a plurality of the voltammetric characteristic data corresponding to a plurality of acupoints to be tested of the given individual to be tested. values, including:

The computing device 120 is configured to take an average value of a plurality of the voltammetric characteristic data corresponding to a plurality of acupoints to be tested of the given individual to be tested, and use the average value as the average value of the given individual to be tested. Meridian acupoint benchmark value.

In one embodiment, when the acupoints to be tested only include the Liuyuan acupoints corresponding to the six meridians of the hand, the 12 voltage values corresponding to the 12 original acupoints of the left and right hands are averaged to obtain the reference value of the meridian acupoints corresponding to the hand; When the acupoints only include the Liuyuan acupoints corresponding to the sixth meridian of the foot, the average of the 12 voltage values corresponding to the 12 original acupoints of the left and right feet is taken to obtain the reference value of the meridian acupoints corresponding to the foot; the acupoints to be tested include the corresponding six meridians of the hand. In the case of the Liuyuan acupoint corresponding to the sixth meridian of the foot and the Liuyuan acupoint corresponding to the sixth meridian of the foot, the above method can be used to take the average value of the hand and the foot respectively, and obtain the reference value of the meridian acupoint corresponding to the hand and the reference value of the meridian acupoint corresponding to the foot. The reference value of the group meridian acupoints can also be averaged from the 24 voltage values corresponding to the total 24 original acupoints to obtain the overall reference value of the meridian acupoints.

The meridian acupoint measuring analyzer proposed by the embodiment of the present invention obtains the meridian acupoint reference value by calculating the average value, and the calculation method is simple, which can improve the calculation speed, improve the system efficiency, reduce the user's waiting time, and improve the user experience.

Optionally, the computing device 120 is configured to take an average value of a plurality of the voltammetric characteristic data corresponding to a plurality of acupoints to be tested of the given individual to be tested, including:

The computing device 120 is configured to average a plurality of the voltammetric characteristic data corresponding to a plurality of acupoints to be tested of the given individual to be tested based on a first preset formula;

The first preset formula is shown in formula (1):

Among them, n is a positive integer, n represents the total number of acupoints to be measured, x _n represents the voltammetric characteristic data of the nth acupoint to be measured, x _max represents the maximum value of the voltammetric characteristic data of all the acupoints to be measured, x _min represents the minimum value in the voltammetric characteristic data of all the acupoints to be tested.

In one embodiment, when the acupoints to be tested only include Liuyuan acupoints corresponding to the six meridians of the hand, the voltammetric characteristic data of Taiyuan acupoint is 3V; the voltammetric characteristic data of Daling acupoint is 6V; The characteristic data is 4V; the volt-ampere characteristic data of Hegu point is 6V; the volt-ampere characteristic data of Yangchi point is 9V; the volt-ampere characteristic data of Wugu point is 1V. Show result:

In the collected voltammetric characteristic data, the maximum value (maximum value and minimum value) may be the error value or the corresponding acupuncture point is abnormal. The meridian point measurement analyzer proposed in the embodiment of the present invention reduces the maximum value pair by removing the maximum value. Influence of the calculation result, the calculation steps are simple, which not only ensures the calculation efficiency, but also improves the accuracy of the reference value of the meridian and acupoints for the individual.

Optionally, the computing device 120 is configured to take an average value of a plurality of the voltammetric characteristic data corresponding to a plurality of acupoints to be tested of the given individual to be tested, and use the average value as the given value. The benchmark values of the meridian and acupoints of the individual to be tested, including:

The computing device 120 is configured to obtain a confidence interval based on a plurality of the voltammetric characteristic data corresponding to a plurality of acupoints to be tested of the given individual to be tested, and average the voltammetric characteristic data based on the confidence interval , and the average value is taken as the reference value of the meridian and acupoints of the given individual to be tested.

The confidence interval can be obtained by calculating the voltammetry characteristic data. The confidence interval is used to indicate the reliability of the sample. According to the confidence interval, the credible voltammetry characteristic data is screened out, and then the average value can be taken to improve the reliability of a given individual to be tested. Accuracy of calculation of meridian and acupoint reference values, thereby improving the accuracy of health analysis for a given individual to be tested.

Optionally, the computing device 120 is configured to obtain a confidence interval based on a plurality of the voltammetric characteristic data corresponding to a plurality of acupoints to be tested of the given individual to be tested, and to determine the voltammetric characteristic based on the confidence interval. The data is averaged, and the average is used as the reference value of the meridian and acupoints of the given individual to be tested, including:

The computing device 120 is configured to average the voltammetric characteristic data of a plurality of acupoints to be tested of the given individual to be tested to obtain a first average value;

In one embodiment, when the acupoints to be tested only include Liuyuan acupoints corresponding to the six meridians of the hand, the voltammetric characteristic data of Taiyuan acupoint is 3V; the voltammetric characteristic data of Daling acupoint is 6V; The characteristic data is 4V; the volt-ampere characteristic data of Hegu point is 6V; the volt-ampere characteristic data of Yangchi point is 9V; the volt-ampere characteristic data of Wugu point is 20V, and the first average value is obtained as shown in formula (2): 8V.

The computing device 120 is configured to obtain a standard deviation based on the first average value and voltammetric characteristic data of a plurality of acupoints to be tested of the given individual to be tested;

It should be understood that the calculation of the standard deviation can be determined by those skilled in the art according to the prior art, and details are not described again in this embodiment of the present invention.

According to the above example, the standard deviation is 5.68624.

The computing device 120 is configured to obtain a confidence interval based on the first mean value, the standard deviation and a preset confidence level;

The confidence interval is shown in formula (3):

表示置信区间的上限，

表示置信区间的下限，s表示标准差，n为正整数，n表示待测穴位的总数，z表示置信水平。in,

represents the upper bound of the confidence interval,

represents the lower limit of the confidence interval, s represents the standard deviation, n is a positive integer, n represents the total number of acupoints to be tested, and z represents the confidence level.

Optionally, the preset letter level is 95%.

Substitute the first average value, standard deviation and preset confidence level in the embodiment into formula (4) to obtain a confidence interval: 2.034<μ<13.966, where μ represents the data value range.

The computing device 120 is configured to screen the voltammetric characteristic data of a plurality of acupoints to be tested of the given individual to be tested based on the confidence interval, to obtain the screened voltammetric characteristic data;

According to the confidence interval, the voltammetric characteristic data in the embodiment is screened, and the data 20 is discarded,

The computing device 120 is configured to average the screening voltammetric characteristic data to obtain a second average value.

The screening volt-ampere characteristic data is: 3V, 6V, 4V, 6V, and 9V to calculate the average value, and the average value of the screening volt-ampere characteristic data is obtained to obtain a second average value of 5.6V.

The second average value is used as the reference value of the meridian and acupoints of the given individual to be tested.

Exemplarily, in the above embodiment, the second average value of 5.6V is used as the reference value of the meridian and acupoints of the given individual to be tested.

Confidence interval is a method of interval estimation in statistics, using [a, b] to represent the interval of the error range of the sample estimated population mean. Since the exact values of a and b depend on the confidence level of the result that this interval includes the overall average value, the meridian acupoint measurement analyzer proposed in the embodiment of the present invention screens the samples through the confidence interval, and can discard the unreliable ( Error data or data corresponding to abnormal acupoints) of the volt-ampere characteristic data, the average value of the screened data can improve the accuracy of the reference value of the individual meridian acupoints.

Optionally, the computing device 120 is configured to obtain the offset value of each acupoint to be tested of the given individual to be tested based on the reference value of the meridian and acupoints, including:

The computing device 120 is configured to determine the offset value of the voltammetric characteristic data to be analyzed and the reference value of the meridian and acupoint based on the offset value formula;

Exemplarily, the offset value formula can be shown as formula (4):

Offset value = volt-ampere characteristic data to be analyzed - reference value of meridian points; (4)

Optionally, the computing device 120 is further configured to perform health analysis on each acupoint to be tested based on the offset value of each acupoint to be tested and a preset abnormality range classification.

Exemplarily, when the offset value is a positive value, it is determined that the preset virtual and real state of the acupoint to be tested is real, and the cold-heat state is hot; when the offset value is negative, it is determined that the preset virtual and real state of the acupoint to be tested is virtual, cold and hot. Status is cold.

Optionally, the computing device 120 is further configured to perform health analysis on each acupoint to be tested based on the offset value of each acupoint to be tested and a preset abnormality range classification, including:

The computing device 120 is configured to determine that the acupoint to be tested corresponding to the offset value is normal when the offset value belongs to the range of [-50, 50];

The computing device 120 is configured to determine that the acupoint to be tested corresponding to the offset value is slightly abnormal when the offset value belongs to the range of [-100, -50) or (50, 100];

The computing device 120 is configured to determine that the acupoint to be tested corresponding to the offset value is moderately abnormal when the offset value belongs to the range of [-150, -100) or (100, 150];

The computing device 120 is configured to determine that the acupoint to be tested corresponding to the offset value is severely abnormal when the offset value is less than -150 or greater than 150.

The meridian acupoint measuring analyzer proposed by the embodiment of the present invention regulates the analysis standard of the preset acupoints to be measured by grading and defining the data of the offset value, which is beneficial to provide an objective standard for the data analysis.

Optionally, the acupoints to be tested include the original left meridian and the original right meridian corresponding to the original left meridian one-to-one;

The volt-ampere characteristic data includes the original acupoint data of the left meridian and the original acupoint data of the right meridian corresponding to the original acupoint data of the left meridian one-to-one;

The computing device 120 is further configured to acquire the difference between the original acupoint data of the left meridian and the original acupoint data of the right meridian corresponding to the original acupoint data of the left meridian one-to-one, and determine the imbalance degree of the left and right meridians based on the difference.

Exemplarily, the data of the Taiyuan acupoint of the left meridian is higher than the data of the Taiyuan acupoint of the right meridian, which can indicate that the body of a given individual to be tested tends to develop too much in the left meridian; Low, it can indicate that the body of a given individual to be tested tends to fall too far. The difference between the two can be used to describe the left and right meridian imbalance, the higher the value, the higher the left and right meridian imbalance.

The meridian acupoint measurement analyzer proposed in the embodiment of the present invention compares the data of the original acupoints of the left meridian with the original acupoint data of the right meridian corresponding to the original acupoint data of the left meridian one-to-one. Since the voltammetric characteristic data represents the value of the left and right meridians of each meridian Balance degree, the properties of cold and heat values of left and right meridians are consistent, but the values of left and right meridians are different, indicating that this meridian is unstable, and the greater the degree of imbalance, the greater the possibility that the corresponding meridians and viscera have symptoms at the moment.

The meridian acupoint measuring analyzer proposed by the embodiment of the present invention uses the statistical value of the test data of a single individual at the current time as the reference value to analyze the health index, which improves the pertinence of the health analysis and is more accurate and effective. This kind of system helps to demonstrate and lead the modernization, digitization, standardization and intelligence of traditional Chinese medicine, and promote the development of the health industry. It will help the industry-related meridian acupoint detection equipment to enter thousands of households, and guide individuals to judge their own health status by monitoring their own meridian and acupuncture points, and to do relevant health preservation and exercise in a timely manner to promote self-health.

The health analysis method provided by the present invention is described below, and the health analysis method described below and the meridian and acupoint measuring analyzer described above can be referred to each other correspondingly.

FIG. 3 is a schematic flowchart of a health analysis method provided by an embodiment of the present invention. As shown in FIG. 3 , an embodiment of the present invention provides a health analysis method based on the embodiment of the above-mentioned various meridian and acupoint measurement analyzers, which can be applied to a computing device, include:

Step 310: Acquire the voltammetric characteristic data of each acupoint to be measured of a given individual to be measured collected by the meridian point electrical signal acquisition component; wherein the voltammetric characteristic data is collected by the measuring electrode and the auxiliary electrode To acquire, in the acquisition state, the sheet-shaped auxiliary electrode is fixed on the body surface, and the measurement electrode sequentially contacts each acupoint to be measured of a given individual to be measured;

Step 320: Calculate and obtain the reference value of the meridian acupoints of the given individual to be tested based on a plurality of the voltammetric characteristic data corresponding to the multiple acupoints to be tested of the given individual to be tested;

Step 330 , based on the reference value of the meridian and acupoints, obtain the offset value of each acupoint to be tested of the given individual to be tested, and the offset value is used for health analysis and assessment.

The health analysis method proposed in the embodiment of the present invention performs data analysis based on the voltammetric characteristic data of the acupoints to be tested of a given individual to be tested, and takes the acupoints to be tested of the given individual to be tested as the processing object to obtain the reference value, which only involves the given The data of the individual to be tested, the reference value obtained by the detection is the current reference value of the given individual to be tested, and the reference value of the meridian and acupoints is accurately and effectively evaluated for the given individual to be tested, so that the reference value can be applied to each specific individual. , to avoid the problem of poor applicability of benchmark values caused by sample quantitative data, improve the accuracy of meridian acupoint benchmark value assessment for individuals, realize targeted quantitative assessment of the collected objects, and improve the pertinence of data analysis.

In the following, possible implementation manners of the above steps in specific embodiments are further described.

Optionally, the acupoints to be tested include any of the following groups or combinations thereof:

Liuyuan acupoint corresponding to the six meridians of the hand;

The Liuyuan point corresponding to the six meridians of the foot.

Optionally, the volt-ampere characteristic data is a voltage value.

Optionally, calculating and obtaining the reference value of the meridian acupoints of the given individual to be tested based on a plurality of the voltammetric characteristic data corresponding to a plurality of acupoints to be tested of the given individual to be tested, comprising:

The average value of a plurality of the voltammetric characteristic data corresponding to the plurality of acupoints to be tested of the given individual to be tested is taken, and the average value is used as the reference value of the meridian acupoints of the given individual to be tested.

Optionally, the average value of a plurality of the voltammetric characteristic data corresponding to a plurality of acupoints to be tested of the given individual to be tested is taken, and the average value is taken as the meridian of the given individual to be tested. Acupoint benchmark values, including:

A confidence interval is obtained based on a plurality of the voltammetric characteristic data corresponding to a plurality of acupoints to be tested of the given individual to be tested, and the average value of the voltammetric characteristic data is averaged based on the confidence interval, and the average value is taken as The reference value of the meridian and acupoints of the given individual to be tested.

Optionally, obtaining a confidence interval based on a plurality of the voltammetric characteristic data corresponding to a plurality of acupoints to be tested of the given individual to be tested, and averaging the voltammetric characteristic data based on the confidence interval, The average value is used as the reference value of the meridian and acupoints of the given individual to be tested, including:

averaging the voltammetric characteristic data of a plurality of acupoints to be tested of the given individual to be tested to obtain a first average value;

obtaining a standard deviation based on the first average value and voltammetric characteristic data of a plurality of acupoints to be tested for the given individual to be tested;

obtaining a confidence interval based on the first mean, the standard deviation and a preset confidence level;

Screening the voltammetric characteristic data of a plurality of acupoints to be tested of the given individual to be tested based on the confidence interval, to obtain screening voltammetric characteristic data;

averaging the screening voltammetry data to obtain a second average value;

The second average value is used as the reference value of the meridian and acupoints of the given individual to be tested.

Optionally, the preset letter level is 95%.

Optionally, the average value of a plurality of the voltammetric characteristic data corresponding to a plurality of acupoints to be tested of the given individual to be tested includes:

The computing device is configured to average a plurality of the voltammetric characteristic data corresponding to a plurality of acupoints to be tested of the given individual to be tested based on a first preset formula;

The first preset formula is:

Among them, n is a positive integer, n represents the total number of the acupoints to be tested, x _n represents the voltammetric characteristic data of the nth acupoint to be tested, and x _max represents the voltammetric characteristic data of all the acupoints to be tested. The maximum value, x _min represents the minimum value in the voltammetric characteristic data of all the acupoints to be tested.

Optionally, the method further includes:

Based on the offset value of each acupoint to be tested and a preset abnormality range classification, health analysis is performed for each acupoint to be tested.

Optionally, performing health analysis on each acupoint to be tested based on the offset value of each acupoint to be tested and a preset abnormality range classification, including:

The computing device is configured to determine that the acupoint to be tested corresponding to the offset value is normal when the offset value belongs to the range of [-50, 50];

The computing device is configured to determine that the acupoint to be tested corresponding to the offset value is slightly abnormal when the offset value belongs to the range of [-100, -50) or (50, 100];

The computing device is configured to determine that the acupoint to be tested corresponding to the offset value is moderately abnormal when the offset value belongs to the range of [-150, -100) or (100, 150];

The computing device is configured to determine that the acupoint to be tested corresponding to the offset value is severely abnormal when the offset value is less than -150 or greater than 150.

Optionally, the acupoints to be tested include the original left meridian and the original right meridian corresponding to the original left meridian one-to-one;

The volt-ampere characteristic data includes the original acupoint data of the left meridian and the original acupoint data of the right meridian corresponding to the original acupoint data of the left meridian one-to-one;

The method also includes:

The difference value between the original acupoint data of the left meridian and the original acupoint data of the right meridian corresponding to the original acupoint data of the left meridian one-to-one is obtained, and the imbalance degree of the left and right meridians is determined based on the difference value.

The health analysis method proposed by the embodiment of the present invention uses the statistical value of the test data of a single individual at the current time as the reference value to analyze the health index, which improves the pertinence of the health analysis and is more accurate and effective. This method helps to demonstrate and lead the modernization, digitization, standardization and intelligence of traditional Chinese medicine, and promote the development of the health industry. It will help the industry-related meridian acupoint detection equipment to enter thousands of households, and guide individuals to judge their own health status by monitoring their own meridian and acupuncture points, and to do relevant health preservation and exercise in a timely manner to promote self-health.

It should be noted here that the above-mentioned device provided by the embodiment of the present invention can realize all the method steps realized by the above-mentioned method embodiment, and can achieve the same technical effect, and the same as the method embodiment in this embodiment is not repeated here. The parts and beneficial effects will be described in detail.

FIG. 4 illustrates a schematic diagram of the physical structure of an electronic device. As shown in FIG. 3 , the electronic device may include: a processor (processor) 410, a communication interface (Communications Interface) 420, a memory (memory) 430 and a communication bus 440, The processor 410 , the communication interface 420 , and the memory 430 communicate with each other through the communication bus 440 . The processor 410 can call the logic instructions in the memory 430 to execute a health analysis method based on the above-mentioned meridian acupoint measurement analyzer. The method can be applied to a computing device, including: acquiring the data collected by the meridian acupoint electrical signal acquisition component. The voltammetric characteristic data of each acupoint to be tested of a given individual to be measured; wherein the voltammetric characteristic data is acquired by the measurement electrode and the auxiliary electrode, and in the acquisition state, the sheet-shaped auxiliary electrode is fixed on the body surface, the measuring electrodes are in contact with each acupoint to be measured of a given individual to be measured in turn; The reference value of the meridian and acupoints of the given individual to be tested is given; based on the reference value of the meridian and acupoints, the offset value of each acupoint to be tested of the given individual to be tested is obtained, and the offset value is used for health analysis and evaluation.

In addition, the above-mentioned logic instructions in the memory 430 can be implemented in the form of software functional units and can be stored in a computer-readable storage medium when sold or used as an independent product. Based on this understanding, the technical solution of the present invention can be embodied in the form of a software product in essence, or the part that contributes to the prior art or the part of the technical solution. The computer software product is stored in a storage medium, including Several instructions are used to cause a computer device (which may be a personal computer, a server, or a network device, etc.) to execute all or part of the steps of the methods described in the various embodiments of the present invention. The aforementioned storage medium includes: U disk, removable hard disk, Read-Only Memory (ROM, Read-Only Memory), Random Access Memory (RAM, Random Access Memory), magnetic disk or optical disk and other media that can store program codes .

In another aspect, the present invention also provides a computer program product, the computer program product includes a computer program, the computer program can be stored on a non-transitory computer-readable storage medium, and when the computer program is executed by a processor, the computer can Execute a health analysis method based on the above-mentioned meridian acupoint measurement analyzer, which can be applied to a computing device, including: acquiring the voltage of each acupoint to be measured of a given individual to be measured collected by the meridian acupoint electrical signal acquisition component. Ampere characteristic data; wherein the voltammetric characteristic data is acquired by the measurement electrode and the auxiliary electrode. When in the collection state, the sheet-shaped auxiliary electrode is fixed on the body surface, and the measurement electrode is sequentially connected with the given individual to be measured. Each acupoint to be tested is contacted; based on a plurality of the voltammetric characteristic data corresponding to a plurality of acupoints to be tested of the given individual to be tested, calculate and obtain the reference value of the meridian and acupoints of the given individual to be tested; The reference value of the meridian and acupoints is obtained, and the offset value of each acupoint to be tested of the given individual to be tested is obtained, and the offset value is used for health analysis and evaluation.

In yet another aspect, the present invention also provides a non-transitory computer-readable storage medium on which a computer program is stored, and when the computer program is executed by the processor, it is implemented to perform a measurement analysis based on the above-mentioned meridian points provided by the above-mentioned methods. The health analysis method of the instrument, which can be applied to a computing device, includes: acquiring the voltammetric characteristic data of each acupoint to be tested of a given individual to be tested collected by the meridian point electrical signal acquisition component; wherein the voltammetric data The characteristic data is collected and acquired by the measurement electrode and the auxiliary electrode. When in the collection state, the sheet-shaped auxiliary electrode is fixed on the body surface, and the measurement electrode is in contact with each acupoint to be measured of a given individual to be measured; A plurality of the voltammetric characteristic data corresponding to a plurality of acupoints to be tested of the given individual to be tested are calculated to obtain the reference value of the meridian acupoints of the given individual to be tested; based on the reference value of the acupoints of the meridians, the The offset value of each acupoint to be tested of the individual to be tested is given, and the offset value is used for health analysis and evaluation.

The device embodiments described above are only illustrative, wherein the units described as separate components may or may not be physically separated, and the components shown as units may or may not be physical units, that is, they may be located in One place, or it can be distributed over multiple network elements. Some or all of the modules may be selected according to actual needs to achieve the purpose of the solution in this embodiment. Those of ordinary skill in the art can understand and implement it without creative effort.

From the description of the above embodiments, those skilled in the art can clearly understand that each embodiment can be implemented by means of software plus a necessary general hardware platform, and certainly can also be implemented by hardware. Based on this understanding, the above-mentioned technical solutions can be embodied in the form of software products in essence or the parts that make contributions to the prior art, and the computer software products can be stored in computer-readable storage media, such as ROM/RAM, magnetic A disc, an optical disc, etc., includes several instructions for causing a computer device (which may be a personal computer, a server, or a network device, etc.) to perform the methods described in various embodiments or some parts of the embodiments.

Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention, but not to limit them; although the present invention has been described in detail with reference to the foregoing embodiments, those of ordinary skill in the art should understand that it can still be The technical solutions described in the foregoing embodiments are modified, or some technical features thereof are equivalently replaced; and these modifications or replacements do not make the essence of the corresponding technical solutions deviate from the spirit and scope of the technical solutions of the embodiments of the present invention.

Claims (15)

1. a meridian point measuring analyzer, is characterized in that, described meridian point measuring analyzer is based on the measurement of meridian point, comprising: Meridian and acupoint electrical signal acquisition components and computing equipment; in, The meridian point electrical signal acquisition assembly includes a measuring electrode and an auxiliary electrode, the auxiliary electrode is sheet-like, and the auxiliary electrode is suitable for being fixed on the body surface; contacting the acupoints to be tested, collecting electrical signals of each acupoint to be tested, and generating voltammetric characteristic data of the acupoints to be tested based on the electrical signals; The computing device is configured to calculate and obtain the reference value of the meridian and acupoints of the given individual to be tested based on a plurality of the voltammetric characteristic data corresponding to the multiple acupoints to be tested of the given individual to be tested; The reference value of the meridian and acupoints is obtained, and the offset value of each acupoint to be tested of the given individual to be tested is obtained, and the offset value is used for health analysis and evaluation. 2. The meridian acupoint measuring analyzer according to claim 1, wherein the acupoints to be measured comprise any of the following groups or a combination thereof: Liuyuan acupoint corresponding to the six meridians of the hand; The Liuyuan point corresponding to the six meridians of the foot. 3 . The meridian and acupoint measuring analyzer according to claim 1 , wherein the volt-ampere characteristic data is a voltage value. 4 . 4. The meridian acupoint measuring analyzer according to any one of claims 1-3, wherein the computing device is configured to be based on a plurality of corresponding acupoints to be measured of the given individual to be measured Described voltammetric characteristic data, calculate and obtain the reference value of meridian and acupoints of the given individual to be measured, including: The computing device is configured to take an average value of a plurality of the voltammetric characteristic data corresponding to a plurality of acupoints to be tested of the given individual to be tested, and use the average value as the meridian of the given individual to be tested Acupoint reference value. 5 . The meridian acupoint measuring analyzer according to claim 4 , wherein the computing device is used to measure a plurality of the voltammetric characteristic data corresponding to a plurality of the acupoints to be measured of the given individual to be measured. 6 . Take the average value, and use the average value as the reference value of the meridian and acupoints of the given individual to be tested, including: The computing device is configured to obtain a confidence interval based on a plurality of the voltammetric characteristic data corresponding to a plurality of acupoints to be tested of the given individual to be tested, and average the voltammetric characteristic data based on the confidence interval, The average value is used as the reference value of the meridian and acupoints of the given individual to be tested. 6 . The meridian acupoint measuring analyzer according to claim 5 , wherein the computing device is configured to be based on a plurality of the voltammetric characteristic data corresponding to a plurality of the acupoints to be measured of the given individual to be measured. 7 . Obtain a confidence interval, and average the voltammetric characteristic data based on the confidence interval, and use the average as the reference value of the meridian and acupoints of the given individual to be tested, including: The computing device is configured to average the voltammetric characteristic data of a plurality of acupoints to be tested of the given individual to be tested to obtain a first average value; The computing device is configured to obtain a standard deviation based on the first average value and voltammetric characteristic data of a plurality of acupoints to be tested of the given individual to be tested; the computing device for obtaining a confidence interval based on the first mean, the standard deviation and a preset confidence level; The computing device is configured to screen the voltammetric characteristic data of a plurality of acupoints to be tested of the given individual to be tested based on the confidence interval, to obtain the screening voltammetric characteristic data; The computing device is used for averaging the screening voltammetric characteristic data to obtain a second average value; The second average value is used as the reference value of the meridian and acupoints of the given individual to be tested. 7 . The meridian and acupoint measuring analyzer according to claim 6 , wherein the preset confidence level is 95%. 8 . 8 . The meridian and acupoint measuring analyzer according to claim 4 , wherein the computing device is used to measure a plurality of the voltammetric characteristic data corresponding to a plurality of the acupoints to be measured of the given individual to be measured. 9 . Take the average, including: The computing device is configured to average a plurality of the voltammetric characteristic data corresponding to a plurality of acupoints to be tested of the given individual to be tested based on a first preset formula; The first preset formula is:

Among them, n is a positive integer, n represents the total number of the acupoints to be tested, x _n represents the voltammetric characteristic data of the nth acupoint to be tested, and x _max represents the voltammetric characteristic data of all the acupoints to be tested. The maximum value, x _min represents the minimum value in the voltammetric characteristic data of all the acupoints to be tested. 9. The meridian acupoint measuring analyzer according to any one of claims 1-3, wherein the computing device is further used for grading based on the offset value of each acupoint to be measured and a preset abnormal range, Health analysis is performed on each of the acupoints to be tested. 10 . The meridian and acupoint measuring analyzer according to claim 9 , wherein the computing device is further configured to classify each acupoint to be measured based on the offset value and the preset abnormal range of each Health analysis of the acupoints to be tested, including: The computing device is configured to determine that the acupoint to be tested corresponding to the offset value is normal when the offset value belongs to the range of [-50, 50]; The computing device is configured to determine that the acupoint to be tested corresponding to the offset value is slightly abnormal when the offset value belongs to the range of [-100, -50) or (50, 100]; The computing device is configured to determine that the acupoint to be tested corresponding to the offset value is moderately abnormal when the offset value belongs to the range of [-150, -100) or (100, 150]; The computing device is configured to determine that the acupoint to be tested corresponding to the offset value is severely abnormal when the offset value is less than -150 or greater than 150. 11. The meridian acupoint measuring analyzer according to any one of claims 1-3, wherein the acupoints to be measured comprise the original left meridian and the original right meridian corresponding to the original left meridian one-to-one ; The volt-ampere characteristic data includes the original acupoint data of the left meridian and the original acupoint data of the right meridian corresponding to the original acupoint data of the left meridian one-to-one; The computing device is further configured to acquire a difference between the original acupoint data of the left meridian and the original acupoint data of the right meridian corresponding to the original acupoint data of the left meridian one-to-one, and determine the left-right meridian imbalance degree based on the difference. 12. A health analysis method based on the meridian and acupoint measuring analyzer according to any one of claims 1 to 11, characterized in that, applied to a computing device, comprising: Acquiring the voltammetric characteristic data of each acupoint to be measured of a given individual to be measured collected by the meridian acupoint electrical signal acquisition component; wherein the voltammetric characteristic data is acquired by the measuring electrode and the auxiliary electrode, in In the acquisition state, the sheet-shaped auxiliary electrode is fixed on the body surface, and the measuring electrode is in contact with each acupoint to be measured of a given individual to be measured in turn; Calculate and obtain the reference value of the meridian acupoints of the given individual to be tested based on the plurality of the voltammetric characteristic data corresponding to the plurality of acupoints to be tested of the given individual to be tested; Based on the reference value of the meridian and acupoints, an offset value of each acupoint to be tested of the given individual to be tested is obtained, and the offset value is used for health analysis and assessment. 13. An electronic device, comprising a memory, a processor and a computer program stored on the memory and running on the processor, wherein the processor implements the program as claimed in claim 12 when the processor executes the program The described health analysis method. 14. A non-transitory computer-readable storage medium on which a computer program is stored, wherein the computer program implements the health analysis method according to claim 12 when executed by a processor. 15. A computer program product, comprising a computer program, wherein when the computer program is executed by a processor, the health analysis method according to claim 12 is implemented.

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