TWI638638B - Method for evaluating operational performance of a biological system and apparatus for fetching data required therefor - Google Patents

Abstract

The present invention discloses a method for evaluating the performance of a biological system and an apparatus for obtaining data in the method of evaluation. The device comprises a light emitting unit, a potential measuring unit, an analog digital converting unit, and an arithmetic unit. The invention utilizes external signal light stimulation to obtain data on surface potential changes of the skin, and further observes the current state of various organs in the living body by numerical means. Compared with existing X-ray and MRI technologies, there are advantages such as short observation time, low application price, and no damage to living things.

Description

Method for assessing the performance of biological systems and for obtaining the review Device for estimating data in a method

The present invention relates to an evaluation method for the performance of a biological system, and a device for obtaining data in the evaluation method, in particular, a method for stimulating a biological epidermis with light to obtain a corresponding potential change in the body for use in various systems in the living body, such as breathing Systems, digestive systems, etc., methods of assessing operational performance, and equipment for obtaining the necessary data in the assessment method.

In general, there are many non-destructive methods to know the state of an organ or system in a living organism and to understand the health of the organism, in addition to being dissected in a medical manner. For example, in humans, medical personnel use X-rays to observe lesions with radiation from the cathode. These rays have different transmittances of different compositions and densities, and the residual amount of the negative film or the detector is different, so that images of different brightness can be formed. Another high resolution imager is Nuclear Magnetic Resonance Imaging (NMRI), which uses the principle of Nuclear Magnetic Resonance (NMR) to analyze energy inside the material. The degree of attenuation in different structural environments, together with the electromagnetic waves emitted by the applied gradient magnetic field, reveals the position and type of the nucleus that constitutes the organ of the object, from which it can be drawn into a structural image of the interior of the object. Broadly speaking, the above-mentioned technology is nothing more than stimulating the human body with high-density energy, and at the same time, using some physical observations that can be detected by the human body, speculating or restoring the internal conditions of the human body, sometimes it is necessary to Apply a certain adjuvant, such as a developer. In addition to the problems of expensive equipment and slight damage to the human body, these technologies require a wide range of parameters to be adjusted if they are to be widely applied to all organisms, whether for academic research or disease treatment. There are still many areas for improvement.

It is well known that organisms are made up of a large number of single cells that work together to achieve many of the tasks required for survival. Taking humans as an example, the human body consists of about 3.72x10 ¹³ single cells, which aggregate to form tissues, organs and systems. When a cell is stimulated by biology (such as oxidation, microbial invasion, temperature abnormality, etc.), the gene of the cell itself adjusts the structure and synthesis of various molecular substances, and adjusts the abnormal condition back to normal within a certain range. At the same time, it will also convey its own status to neighboring cells and send the message together to other organ systems. When the amount of cellular information and the number of occurrences reaches a certain threshold, other organ systems will respond, such as the activation of immune cells, the secretion of hormones from the adrenal glands, and the secretion of hormones from the pituitary gland. The purpose is to assist in the repair. Modern biomedicine points out that cells and cells, organ systems and organ systems use molecular substances to convey information. In addition to the structure and quantity of molecular substances, they also include more subtle changes in energy, electrons, and so on; Passed to the message, other cells and organ systems also get information through the nervous system and the circulatory system. Therefore, in addition to analyzing the metabolic status of "relative giants" through blood, urine test and other body fluid tests, understanding the subtle changes in the message can provide a more detailed understanding of the current state of the body's various organ systems. At the molecular biology level, it is now possible to partially understand the in vivo signal transmission status, such as energy and mitochondrial lesions. However, if the skin is properly stimulated and a signal from the skin, such as a voltage change, is read, the current condition of the organ or system that transmits the message in the body can be pushed back.

A related art can be referred to US Patent Application No. 20160220130, which relates to an array physiological detection system that can detect and record physiological characteristics of three or more dimensions of a user. In the case, a light source is used to provide light to illuminate a skin area and penetrate the dermis layer of the skin area, and each of the photosensitive pixels continuously detects the light emitted from the dermis layer passing through the skin area to respectively output a brightness change signal. Converting the brightness change signal of each of the photosensitive pixels to frequency domain data, calculating a variation amount of the frequency domain data relative to the photosensitive pixels, and determining a microcirculation state according to the variation of the variation amount. The physiological detection system can read the skin reaction by external specific wavelength light stimulation, but because of the light entering the light, such as the mouse detecting the texture of the desktop, only the shallow microcirculation blood vessel expansion and contraction change signal can be understood. Unable Reading the response of other internal organs or systems to the light, the upper limit of the application level is much reduced.

Therefore, it is necessary to effectively use external light stimulation to understand the current state of operation of various human systems, and even further cooperate with clinical data to evaluate the aging damage of various systems, and to provide early warnings before medical improvement, as part of preventive medicine, this The inventors have proposed an evaluation method for the performance of a biological system and a device for obtaining data in the evaluation method. What is important is that this method of assessing the performance of biological systems can be applied not only to humans, but also to the use of Vientiane organisms to contribute to scientific research.

This paragraph of text extracts and compiles certain features of the present invention. Other features will be revealed in subsequent paragraphs. The intention is to cover various modifications and similar arrangements in the spirit and scope of the appended claims.

In order to meet the above needs, the present invention discloses the aforementioned biological system performance evaluation method. The method comprises the steps of: a) continuously emitting a signal light having a specific wavelength to a first region of a skin of a living being; b) measuring a second region of the skin of the living creature at a sampling frequency for a specific time. Measuring the potential, and converting the measured potential value into a corresponding binary value; c) obtaining a performance data according to the time series, the performance data is a plurality of 0 and 1 converted by the binary values outside a threshold interval Bit value; d) fetch the bit value of the complex array N byte in the performance data, perform fast Fourier transform operation; e) take the corresponding M of the first M maximum periodic cosine waves of each group obtained by fast Fourier transform operation coefficient; And f) collecting the complex array M coefficients obtained in step e, and calculating the dispersion relationship value of each of the M coefficients for the plurality of samples in the normal state of the organism to perform the average of the corresponding M coefficients obtained in steps a to e.

Preferably, the second region and the first region are not on the skin surface adjacent to the living being. Calculate the average of the consecutive K values of the binary values outside the threshold interval. If the binary value is converted, the method may be: when the central binary value is greater than or equal to the average value, it is converted to 1; when the average value is less than the average value, Convert to 0.

According to the present invention, the specific wavelength may be a near-infrared light wavelength of 860 nm to 890 nm. N can be 9, M can be 10, and K can be 21. In step b, the potential can be measured by an optical diode.

The biological system operation performance evaluation method, wherein the calculation step of the dispersion relationship value comprises: 1) summing the absolute values of the difference between the M coefficients of each group and the average value of the corresponding M coefficients, the value is as small as the large score The order gives an assignment of 1 to L points, L is a positive integer, 1 point represents the difference between zero and the next order, L is the difference between the maximum and the previous order; 2) Calculating the number of groups from 1 to L 3) set L integer values from large to small; and 4) multiply the number of groups from 1 to L by the integer value corresponding to the largest to the smallest, and add the result by the total number of groups and the largest integer value. The product. L can be 6.

The present invention further discloses an apparatus for obtaining data in the biological system performance evaluation method. The device includes: a light emitting unit for continuously emitting a signal light having a specific wavelength to a first region of a skin of a living being; a potential measuring unit attachable to a second area of the skin of the living body for measuring the potential of the second area; an analog-digital conversion unit electrically connected to the potential measuring unit for During a specific time, the measured potential value is converted into a corresponding binary value by a sampling frequency; and an arithmetic unit is electrically connected to the analog digital conversion unit to obtain a performance data according to time series, and the performance data is a plurality of 0 and 1 bit values converted by the binary values outside a threshold interval, and the bit values of the complex array N bytes in the performance data are taken out, and a fast Fourier transform operation is performed, and a fast Fourier transform operation is performed. The M coefficients of the first M maximum periodic cosine waves of each group, and the M coefficients of the complex array obtained by the set, calculate each group of M coefficients obtained by the device for the plurality of samples in the normal state of the biological system. The value of the dispersion relationship corresponding to the average of the M coefficients.

Preferably, the second region and the first region are not on the skin surface adjacent to the living being. The binary value conversion method may be: calculating an average value of consecutive K values of the binary values other than the threshold interval, and converting to 1 when the central binary value is greater than or equal to the average value; Convert to 0.

According to the invention, the light-emitting unit can be an optical diode emitting a near-infrared light wavelength having a specific wavelength of 860 nm to 890 nm. N can be 9, M can be 10, and K can be 21. The potential measuring unit can be an optical diode.

The arithmetic unit further calculates the value of the dispersion relationship by the following steps: 1) absolute value of the difference between the M coefficients of each group and the average value of the corresponding M coefficients The sum of the values, from small to large, gives an assignment of 1 to L, L is a positive integer, 1 represents the difference from zero to the next order, and L represents the difference from the largest to the previous; 2) Calculate how many groups are from 1 to L; 3) set L integer values from large to small; and 4) multiply the number of groups from 1 to L by the integer values corresponding to large to small, and add the result. Divided by the product of the total number of groups and the largest integer value. L can be 6.

The invention utilizes external signal light stimulation to obtain skin potential change data, and further observes the current status of various organs in the living body in a numerical manner. Compared with existing X-ray and MRI technologies, there are advantages such as short observation time, low application price, and no damage to living things.

10‧‧‧Electronic equipment

100‧‧‧Lighting unit

200‧‧‧potentiometric measuring unit

300‧‧‧ analog digital conversion unit

400‧‧‧ arithmetic unit

500‧‧‧ display unit

600‧‧‧Power supply unit

20‧‧‧Server

1 is a flow chart showing the steps of a method for evaluating the performance of a biological system according to the present invention; FIG. 2 is a view showing a preferred first region and a second region; and FIG. 3 is a view showing the measured potential and converted binary values. The relationship between the two; the fourth figure shows the human pancreas and duodenum; the fifth figure is a flow chart of the numerical calculation steps of the dispersion relationship; and the sixth figure is a schematic diagram of a device for obtaining data in the biological system performance evaluation method.

The following description contains the embodiments of the present invention in order to understand how the description of the invention is applied to the actual situation. It should be noted that in the following figures, the parts unrelated to the techniques of the present invention have been omitted, and in order to demonstrate the relationship between the elements, the ratio between the elements in the drawing and the real elements. The ratios are not necessarily the same.

Please refer to FIG. 1 , which is a flow chart showing the steps of a method for evaluating the performance of a biological system according to the present invention. First, a signal light having a specific wavelength is continuously emitted to a first region of the skin of a living creature (S01). In this step, the organism can refer to any species with a life phenomenon, especially an animal. In the present embodiment, a human (human body) will be described as an example. Humans have many accumulated academic and practical achievements in medicine, as well as clinical experiments conducted in accordance with the present invention, which can verify the specific effects of the present invention. The biological system referred to herein refers to a physiological system composed of a digestive system, a reproductive system, an endocrine system and the like having a specific operational purpose and involving at least one or more organs. General organisms also have their physiological systems. In theory, the signal light is transmitted into the human body through the skin, preferably in the absence of background light, such as in a dark room, to avoid interference with light or strong energy rays in the background light. In practice, these disturbances can be eliminated by eliminating background noise. However, in order to avoid unnecessary sudden interference or interference with the light source is too strong, the evaluation is not accurate, and the light intensity near the signal light source is minimized.

In accordance with the spirit of the present invention, signal light, as an external source of energy for stimulating the human body, must be continuously transmitted to the first region of the skin (the first region will be described together with the second region in the text below). According to the test results, it is best to last for at least a minute or so. The longer the stimulus is, the more response signals can be obtained for the corresponding stimulus, and more than one minute is better. For each organism, the type of light source used to obtain the best light stimuli for each system in the body may vary. For humans, the signal light is preferably near-infrared light with a specific wavelength between 860 nm and 890 nm. In terms of emission energy, each creature is different; if safety is considered, the signal light energy applied to the human body can be below 0.5 watts, preferably about 0.25 watts, which is strong enough to spur enough to be measured. reaction.

Next, the second step is to measure the potential in a second region of the skin of the living being at a sampling frequency for a specific time, and convert the measured potential value into a corresponding binary value (S02). In this step, the specific time corresponds to the signal light emission time in step S01, and the data to be analyzed in the subsequent step is collected during the signal light emission time, and the measurement potential can be performed by an optical diode. The sampling frequency can be determined by the characteristics of existing electronic components. For example, an Analog-to-Digital Converter (ADC) with a sampling frequency of 100 kHz or 192 kHz and a resolution of 12 bits, the corresponding sampling frequency is 100 kHz or 192 kHz. . Regarding the first area and the second area of the skin, in principle, the second area and the first area are not on the skin surface adjacent to the living body, and the light emission source is prevented from being too close to the potential measuring end, and the received voltage value is received by the bureau. The influence of the Ministry was heavier and the observation of the target system was lost. Since it is hoped that the stimulation of the signal light can be transmitted to various parts of the body, the light emission and the potential measurement are preferably in the opposite direction. A good example is shown in Figure 2. The signal light is directed toward the skin (first area) opposite the fingernail's nail in the direction of the hollow arrow, and is located at the skin (second area) opposite the thumb nail pointed by the solid arrow. Measure.

See Figure 3 for the relationship between the measured potential and the converted binary value. It is to be noted that the figure is only an example of the present embodiment for the purpose of illustration and does not represent an actual operation. Figure 3 shows a plane coordinate system whose horizontal axis represents time and can be in seconds. There are two vertical axes: the vertical axis on the left is the potential of the second region (relative to ground), in mV, and the unit on the right vertical axis is binary 12bits, corresponding to the aforementioned potential value (12 consecutive 0 or 1, can be changed to decimal value can be 0~4095, that is, the voltage value is within a certain range, divided into 4096 values, expressed as binary values). The binary value corresponding to the potential conversion adopts linear conversion, that is, the value of a continuous segment potential of the entity corresponds to a binary value, and the binary value corresponding to the potential value of the adjacent segment is greater or smaller than "1".

Then, a performance data is obtained in time series, and the performance data is a plurality of bit values of 0 and 1 converted by the binary values outside a threshold interval (S03). Please see Figure 3 again with the following instructions. Since the measurement of the potential is not continuous, but the measurement is obtained in a short time at a certain frequency, the actual data fluctuates. As mentioned earlier, these values may be affected by background light or by the inherent noise of the device in which the method is implemented. Or noise needs to be removed in a simple manner to improve the accuracy of the evaluation results. Based on different environments and calibration experience, a threshold interval can be selected, which is itself a binary value (also a 12-bit value in this example), which is used to filter the qualified conversion binary values. For example, an 011101110010 representing 36 mV and an 01111110001 (dashed line) representing 44 mV are selected as the upper and lower limits of the threshold interval. As can be seen from Fig. 3, the data between the two broken lines is within the threshold interval and is not received as a binary value for further analysis, and data outside the two dotted lines is acceptable. It should be emphasized that the choice of threshold interval may be different in each implementation and is not limited to those shown in Figure 3.

In the present embodiment, a 100 kHz analog-to-digital converter is used, so 6000k data is read in one minute for analysis. In fact, through the screening of the threshold interval, a lot of data will be deleted, so that the converted binary value may be 1/60 (in the present embodiment), that is, the binary value of about 98.3% is deleted. There are 100k pens left. The 100k data should be converted into analyzable data. The binary value conversion method must calculate the average value of the consecutive K values outside the threshold interval. If the central binary value is greater than or equal to the average value, Converted to 1; less than the average, converted to 0. For example, taking K as 21, that is, a qualified binary value represents "0" or "1", depending on the average calculated from the same 10 and the last 10 equally acceptable binary values. The relationship between values. For example, the average is 101110010011. If the central binary value is 101100011011, which is less than the average, the binary value is converted to 0, and vice versa. Therefore, 100k The pen data becomes 0 and 1 of 100kbits, which is the performance data. The performance data is ideally 100kbits. More bit performance data will have more accurate evaluation results, but it will also consume computer resources and should be carefully selected. It should be noted that these bits must be arranged in time series, and the time is arranged in the latter.

The next step of the method is to take out the bit value of the complex array N-byte in the performance data, and perform a fast Fourier transform operation (S04). One of the theoretical basis of the present invention is that when cells in each range operate, they react to signal light, and the feedback of this reaction affects the potential change on the surface of the skin. Therefore, the bit value of the N-byte in this step (specific 8N values, or 0 or 1) represents the reaction of cells within the aforementioned range. After many clinical trials, the N value is chosen to be 9, which optimizes the accuracy of the assessment results and reduces the use of computer resources during analysis. Which N-bit tuple values correspond to which ranges of cells are also found through clinical trials. It should be noted that in the experiment, it was also found that the effects of cells within a certain range were reflected in the bit values of the same N-byte. See Figure 4 for practical applications. Figure 4 shows the human pancreas and duodenum area, belonging to the digestive system. There are a large number of dots and triangle points, each point representing the center point of a range of cells, which corresponds to the bit value of a set of N bytes in the performance data. Assuming that there are 60 points on the fourth graph, then the 60-bit corresponding N-bit tuple values are selected for analysis (for fast Fourier transform operations). The bit values of the 60 N-bit groups are not completely adjacent, and the selection method is also subject to a lot of tests to find the corresponding position.

Next, the corresponding M coefficients of the first M maximum periodic cosine waves of each group obtained by the fast Fourier transform operation are taken (S05). After Fourier transform, the bit values of the 60 N-bit groups are each expanded into a Fourier series, f(x) _P = a _0p + a _1p cos(x) + a _2p cos(2x)+ a _3p cos(3x)+..., P=1~60. Each Fourier series has an infinite term, and each term represents a periodic function in which the range is from negative infinity to positive infinity, where the period of the periodic function corresponding to a _0p is infinite. Taking M=10, the corresponding 10 coefficients of the first 10 largest periodic cosine waves of each group are a _0p , a _1p , a _2p , a _3p , a _4p , a _5p , a _6p , a _7p , a _8p , with a _9p . The larger the selection of M, the better. However, the larger value represents the subsequent calculation. The 10 in this example is a better number, which can balance the accuracy of the result with the resources used by the computer.

The last step of the method is: collecting the complex array M coefficients obtained in step S05, and calculating each group of M coefficients to perform steps S01 to S05 on the plurality of samples in the normal state of the living body (human in this example). The value of the dispersion relationship corresponding to the average of the M coefficients (S06). As can be seen from the above examples, after completing steps S01 to S05 once, 60 sets of data of 10 data sets per group can be obtained for the digestive system of the pancreas and duodenum. Take several of the normal human conditions, such as 1000, and the samples repeat the steps. For the digestive system, there will be 1000 such data. Taking the average of the data, you will also get 60 groups of 10 data per group, which can represent the normal (healthy) condition of the human digestive system. 60 groups of a special individual, each group of 10 data, and the average data in the normal case are calculated, you can get The value of the dispersion relationship. The value of the dispersion relationship is the final index obtained by the present invention. The closer to 1, the more normal the operation of the physiological system can be.

For the calculation of the value of the dispersion relationship, see Figure 5, which is a flow chart of the numerical calculation steps of the dispersion relationship. First, the sum of the absolute values of the difference between the M coefficients of each group and the average value of the corresponding M coefficients is assigned to a value of 1 to L according to a small to large step, L is a positive integer, and 1 is a difference. From zero to the second order, the L score represents the maximum amount of difference to the previous order (S11). Take L=6, which is 1 to 6 minutes. If the maximum value of the absolute values of the aforementioned difference amounts is 3.6, each 0.6 is a first order, and each represents a different score, such as: 0 to 0.6 is 1 minute, 0.6 or more to 1.2 is 2 points, and the like. Each step has its assigned score.

Next, it is calculated how many groups each of 1 to L are (S12). For example, 1 point has 5 groups, 2 points and 10 groups, 3 points have 20 groups, 4 points have 15 groups, 5 points have 10 groups, and 6 points have 0 groups. Next step: Set L integer values from large to small (S13). For example, 10, 9, 8, 5, 2, and -1. The integer value can be negative, and the difference between them can be any positive integer. The purpose is to adjust the degree of warning when a problem occurs in a certain system of the human body. The denser the integer values, the closer the value of the alert will be to 1. In practice, steps S12 and S13 can be interchanged.

Finally, the number of groups of 1 to L is multiplied by the integer value corresponding to the largest to the smallest, and the result is divided by the product of the total number of groups and the largest integer value (S14). According to the above example, it is calculated as (5x10+10x9+20x8+15x5+10x2+0x(-1))/(60x10)=0.658. If there are 60 groups of 1 point, the result of the above calculation is 1, that is, one observation and The average is exactly the same. 0.658 indicates that the physiological system may have been a bit problematic.

The method is not limited to assessing the performance of a biological system. If a disease affects a particular organ or systems, the method can also be used to set multiple organs across the biophysical system (ie, a complex array of N-bit bits). The selection of the values), observation and analysis, the results can be shown to be affected by the disease.

The biological system performance evaluation method proposed by the present invention can actually rely on a set of electronic devices 10 to obtain relevant data. As shown in FIG. 6, the electronic device 10 includes a light emitting unit 100, a potential measuring unit 200, an analog digital converting unit 300, an arithmetic unit 400, a display unit 500, and a power supply unit 600. The functions of these components are explained below.

The illumination unit 100 can be used to continuously emit a signal light having a specific wavelength to a first region of the skin of a living being. Preferably, the light-emitting unit 100 is an optical diode capable of emitting near-infrared light having a specific wavelength of 860 nm to 890 nm. The potential measuring unit 200 can be attached to a second area of the skin of the living body for measuring the potential of the second area, and an optical diode can be used. The difference between the first area and the second area has been explained above and will not be described here. The analog digital conversion unit 300 is electrically connected to the potential measuring unit 200 for converting the measured potential value to a corresponding binary value at a sampling frequency within a specific time.

The operation unit 400 is electrically connected to the analog digital conversion unit 300 for acquiring performance data according to time series, and the performance data is outside the threshold interval. The binary values of the binary values are converted into a plurality of 0 and 1 bit values, and the bit values of the complex array N bytes in the performance data are taken out, and the fast Fourier transform operation is performed, and the first M max of each group obtained by the fast Fourier transform operation is obtained. The corresponding M coefficients of the periodic cosine wave, and the complex array M coefficients obtained by the set, calculate the average M coefficients of each group of M coefficients obtained by the electronic device 10 for the plurality of samples in the normal state of the biological system. The value of the value of the dispersion relationship. That is to say, the arithmetic unit 400 can perform all the calculation steps of the value of the dispersion relationship in FIG.

The display unit 500 is electrically connected to the operation unit 400 for displaying the result of the operation unit 400 processing the data. The power supply unit 600 is electrically connected to all of the aforementioned units to provide power required for the units to operate.

The electronic device 10 can be further connected to a server 20 by wire or wirelessly. The server 20 has a database for storing corresponding M coefficients and average values obtained by the electronic device 10 for several samples in a normal state of each biological system. . Since the storage space of the computing unit 400 in the electronic device 10 is not large, and the average value of these coefficients is large, the database of the server 20 must be used to assist in storage, and the value thereof can be updated at any time.

Although the present invention has been disclosed in the above embodiments, it is not intended to limit the invention, and those skilled in the art can make some modifications and refinements without departing from the spirit and scope of the invention. The scope of the invention is defined by the scope of the appended claims.

Claims (20)

A method for utilizing a potential change generated by skin stimulation of external signal light to obtain a value of a dispersion relationship with respect to a normal state of a living body, comprising the steps of: a) continuously emitting a specific wavelength to a first region of a skin of a living being; Signal light; b) measuring the potential in a second region of the skin of the living being at a sampling frequency, and converting the measured potential value to a corresponding binary value; c) obtaining the time series a performance data, the performance data is a plurality of 0 and 1 bit values converted by the binary values outside a threshold interval; d) taking out the bit values of the complex array N bytes in the performance data, and performing fast Fourier transform operation, where N is a positive integer; e) taking the corresponding M coefficients of each group of the top M maximum periodic cosine waves obtained by the fast Fourier transform operation, where M is a positive integer; and f) the complex array obtained by the set step e M coefficients are calculated, and each group of M coefficients is calculated for the plurality of samples in the normal state of the organism, and the dispersion relationship values of the corresponding M coefficient average values obtained from steps a to e are performed. The method of claim 1, wherein the second region and the first region are not on the skin surface adjacent to the living being. The method of claim 1, wherein the binary value is converted by calculating a continuous number of binary values other than the threshold interval. The average value, where K is a positive integer, if the central binary value is greater than or equal to the average value, it is converted to 1; when it is less than the average value, it is converted to 0. The method of claim 1, wherein the specific wavelength is a near-infrared wavelength of 860 nm to 890 nm. The method of claim 1, wherein N is 9. The method of claim 1, wherein M is 10. The method of claim 3, wherein K is 21. The method of claim 1, wherein the potential is measured by an optical diode in step b. The method of claim 1, wherein the step of calculating the value of the dispersion relationship comprises: 1) summing the absolute values of the difference between the M coefficients of each group and the average value of the corresponding M coefficients, the value is as small as The large order gives an assignment of 1 to L points, L is a positive integer, 1 point represents the difference between zero and the next order, L is the difference between the maximum and the previous order; 2) Calculating the number of 1 to L points Group; 3) set L integer values from large to small; and 4) multiply the number of groups from 1 to L by the integer value corresponding to the largest to the smallest, and add the result by dividing the total number of groups and the maximum integer. The product of the values. The method of claim 9, wherein L is 6. An apparatus for obtaining data in a method as recited in claim 1 of the patent application, comprising: a light emitting unit for continuously emitting a signal light having a specific wavelength to a first region of a skin of a living being; a potential measuring unit attached to a second region of the skin of the living body for measuring The potential of the second region; an analog-to-digital conversion unit electrically connected to the potential measuring unit for converting the measured potential value to a corresponding binary value at a sampling frequency within a specific time; An arithmetic unit is electrically connected to the analog-to-digital conversion unit for obtaining a performance data according to a time series, wherein the performance data is a plurality of 0 and 1 bit values converted by the binary values outside a threshold interval, and the The bit values of the complex array N bytes in the performance data, the fast Fourier transform operation, the M coefficients corresponding to the first M maximum periodic cosine waves of each group obtained by the fast Fourier transform operation, and the complex array M obtained by the set Coefficient, calculating the dispersion relationship value of each group of M coefficients for the average of the corresponding M coefficients obtained by the device for the plurality of samples in the normal state of the biological system, wherein M and N are positive Integer. The device of claim 11, wherein the second region and the first region are not on a skin surface adjacent to the living being. The device according to claim 11, wherein the binary value is converted by calculating an average value of consecutive K values other than the threshold interval, wherein K is a positive integer, and if the central binary value is When it is greater than or equal to the average value, it is converted to 1; when it is less than the average value, it is converted to 0. The device of claim 11, wherein the light-emitting unit is an optical diode that emits a near-infrared light wavelength of a specific wavelength of 860 nm to 890 nm. The apparatus of claim 11, wherein N is 9. The apparatus of claim 11, wherein M is 10. The apparatus of claim 13, wherein K is 21. The device of claim 11, wherein the potential measuring unit is an optical diode. The apparatus according to claim 11, wherein the arithmetic unit further calculates the dispersion relationship value by the following steps: 1) summing the absolute values of the difference between the M coefficients of each group and the average value of the corresponding M coefficients According to the value from small to large, give 1 to L points, L is a positive integer, 1 is the difference between zero and the next order, L is the difference to the maximum to the previous; 2) Calculate 1 to How many groups are there for L points; 3) Set L integer values from large to small; and 4) Multiply the number of groups from 1 to L by the integer value corresponding to the largest to the smallest, and divide the result by the total. The product of the number of groups and the largest integer value. The apparatus of claim 19, wherein L is 6.