TW200409614A - Analysis method about relationship of beating signal and heart function - Google Patents

Abstract

This is one analysis method about probing into relationship of beating signal and heart function. It is used to deal with one beating signal, which is measured from one subject under any activity condition in a period of time with an electric manometer. And this analysis could be the reference target of the heart function of the subject. This method includes: (1) to transform the beating signal into the power spectrum, (2) to normalize the outcome of the power spectrum transformation, and (3) to compute an advance defining heart index from the normalized power spectrum diagram, and supply the reference target of the heart function from the subject with the heart index.

Description

200409614

[Technical field to which the invention belongs] The present invention relates to an analysis method, and particularly to a method for analyzing the correlation between a pulsation signal and a heart function that processes a pulsation signal obtained by a sphygmomanometer under any activity state as a judgment indicator of the heart function. 5 [Previous technology] Difficulty is called "the invisible number one killer". However, when a patient is diagnosed with a heart disease at the hospital, it is often near the end of the period and treatment is not easy. In fact, in terms of current global medical technology, heart disease is often difficult to detect in the early and middle stages, and this-unresolved medical blind spot leads to a significant proportion of heart attacks. Compared with the prevention of heart disease, in recent years, due to the declining price of sphygmomanometers and becoming cheaper, it has been able to penetrate into ordinary households and become one of the basic home health care devices, so that everyone can prevent high blood pressure. Among the sphygmomanometers, the simple electronic sphygmomanometer is particularly popular among families. In addition to measuring systolic and diastolic blood pressure, the electric 15-type sphygmomanometer also measures pulse signals such as energy and pulse number. For reference, however, because the pulse signal is only a subsidiary function provided by the electronic sphygmomanometer, it is usually ignored without further utilization analysis. [Summary of the Invention] 20—The first purpose of the present invention is to provide a method for analyzing the correlation between the pulsation signal and the cardiac function by using the pulsation signal that is repeatedly measured for blood measurement as an indicator of cardiac function. A secondary object of the present invention is to provide a correlation analysis method of pulsation signals and cardiac function applicable to any active state of a subject. 200409614 Therefore, the correlation analysis method of the pulsation signal and the heart function of the present invention is used to process a pulsation signal of a subject within a certain period of time from a blood pressure measurement under any activity state, As a reference index of the subject's cardiac energy, the method includes: (1) performing energy spectrum conversion on the pulsation signal; (2) normalizing an energy spectrum obtained by the conversion; and G3) normalizing by The energy spectrum is used to calculate a pre-defined heart number. The heart index is used as a reference index for judging the heart function of the subject. The present invention discloses a method for determining cardiac function by using pulsation signals. The method includes: (1) subjecting the subject's pulsation signals to energy spectrum conversion; (2) normalizing an energy spectrum obtained by the conversion; and (3) ) Calculate a pre-defined cardiac index from the normalized energy spectrum; and (4) determine the subject's cardiac function status based on the cardiac index. [Embodiment] 15

The foregoing and other technical contents, features, and advantages of the present invention will be made clear in the following detailed description of a preferred embodiment with reference to the accompanying drawings. Firstly, as shown in FIG. 1, a preferred embodiment of the correlation analysis method of the pulsation signal and cardiac function according to the present invention mainly includes: _ pulsation measurement step 11, a previous signal removal step 12, a frequency domain conversion step 13, a Energy Spectrum Conversion ㈣ 14, Normalization Step 15, Heart Index Definition Step 16 and a Heart Index Calculation Step 17, In this embodiment, the pulsation measurement step u is an electronic sphygmomanometer that can detect 16 pulsation signals per second A pulsation measurement was performed on the subject, which reads one of 20 200409614 5 a complete original signal 31 pattern as illustrated in the second figure. In the figure, the dashed line represents pressure. At the beginning, the pulse pressure band of the sphygmomanometer was increased by the inflation of the air pump. After the pressure point was reached, the pump's variable frequency motor stopped operating and gradually deflated. The solid line represents measurement. The obtained pulsation signal, the front pulsation signal 311 contains more noise due to the mechanical operation interference of the pump motor. After the pump motor is stopped without interference, the pulsation signal 312 at the rear section drops and shows regularity. This is beneficial for subsequent analysis. . 10 From the original time domain signal 31 to the frequency domain, the spectrum distribution of the pulsating signal presented will help to further understand and interpret the signal characteristics and hidden meaning. In this embodiment, the previous-stage pulsation is removed by the previous-stage signal removing step 12. After 311 (the reason is described in detail below), the frequency domain conversion step η is performed using a fast Fourier transform (FFT), and its operation is different. The formula is shown in the following [Formula 1], but other conventional methods that can convert the time domain signal 31 to the frequency domain can also be applied. 15 [Formula 1] k = 0 _ .1π_ where% = X〇: original time domain signal X :; frequency spectrum of original signal converted to frequency domain N :: input signal points J: ^ ~ ΐ η 2 0,1 , _. Ν-1 The length of the original signal sequence χ〇 varies depending on the gate of each measurement of blood pressure 9 20 200409614 In this embodiment, 16 points are acquired per second, and the fast Fourier transform of the blue point is performed on the x〇 sequence. To obtain the spectrum X converted from the original signal 31 to the frequency domain. After this step, after the frequency domain conversion analysis of 13, because of the interference signal of the pump motor, the human body pulsation signal overlaps in the frequency domain distribution and cannot be filtered out by 5 methods. Therefore, it is necessary to go through the previous signal removal step 12 to When the motor operation is stopped, the rain pulse signal 311 is discarded, and only after the motor operation is stopped-the segment pulse signal 312 is subjected to frequency domain conversion processing. -The energy spectrum conversion step M is the frequency spectrum X of the post-pulse signal 312 obtained in the frequency domain conversion step 13 multiplied by its total vehicle value c0nj⑴ to obtain the power spectral density of X: (PQWer speetrum such as The frequency spectrum shift S represents the energy distribution of the signal in the frequency domain, and can be expressed by the following [Formula A]. The third a and three b diagrams respectively illustrate a measurement of the edge pulsation signal 312, and The energy spectrum of the latter pulsation signal 312 processed in steps b and 13 of step 14. SX * conj (X) / n Γ [Equation 2] To compete, the length of n: X is the #pulse signal of the tester Whether or not it is affected by its state, the present invention has found through research and comparison that although the pulsation after exercise is accelerated, the energy is increased, and the blood pressure changes, the t of the heart index (described below in detail) is t, because its news = special: still exists It is even more obvious, so the signal value can be normalized without having to wait for the subject to rest for a period of time before measuring, so that the present invention can measure at any time regardless of the state of the subject Apply, 影响 without affecting calculation results w '25 In this embodiment, the normalization step 15 includes an energy normalization step 10 200409614 151 and a frequency normalization step 152. The energy normalization step 15 is based on the power spectrum density chart shown in the third b®, and the maximum basic value is selected. The vibration of the wave is defined as the first main frequency, which is usually located to the right of the lfe position 2 (the 0Hz signal in the figure only represents the mean value that has not been returned to zero, and has nothing to do with vibration). Harmonics are sequentially defined as the second main frequency and the third main frequency. The amplitude of the first main frequency is determined on the & plane (that is, the energy normalization standard in this embodiment), and the amplitude of each harmonic is divided by the first With a main frequency amplitude, you can observe the normalized amplitude ratio relationship of energy. In the present embodiment, the frequency normalization step 152 is to set the standard to the heartbeat per knife clock PT, which is ι · 33 per second. And as mentioned above, this embodiment uses an electronic sphygmomanometer that can detect 16 pulse signals per second, so 21 · 28 pulse signal points are captured. Divide the number of pulses per minute measured by the electronic blood pressure measurement by the frequency normalization standard 80 times the time series to display the frequency Normalize the pulsation of green.

15 The fourth to sixth diagrams are used to illustrate the effect of step 15 after normalization. The fourth "contains-normal subjects ^ resting state heartbeat 80 beats / minute measurement of the post-pulsation signal 312 (above), and-from the post-pulsation

The signal 312 is processed by steps 13 and 14. The energy spectrum paid for the 7th processing is shown in the figure below (the figure below). This energy spectrum shows the first main scale 嘀 milk & ~ c 罘 王 frequency 振 v 田 约Horse 2.8x105. The fourth b 20 picture is the result of normalizing the fourth a picture with a main frequency amplitude of 5x105. Adjusted to a heart rate of 80 beats / min and the first peer, and the fifth a picture contains the fourth a's heart rate after exercise 120 o / component 312 (above) and an energy spectrum diagram (below) The same normal reception in b)> The obtained pulsation signal at the subsequent stage 'The energy spectrum shows 11 200409614 = the main f vibration field is about 6 lxlQ5. Fifth b map post will use the same positive slogan, and work as the fifth and fourth b map: then the normalization standard, that is, adjusted to a heart rate of 8G / min and ^ awarded the result of 5x1 jealousy.

ίο 15 Heart beat brother βΓ a Figure 1 contains-the heart of myocardial disease, _ patient in a resting state " 'down / component measured after the pulsation U 312 (above) and the volume of a bin (below) The energy spectrum chart shows the first-frequency amplitude ㈣ · _. The sixth b chart is the sixth a chart after the fourth and fifth b five b chart adopted the standard 'that is adjusted to a heart rate of 80 beats / min and the first The result of the main frequency amplitude 'Ί1 (Π). It is shown in the sixth figure that the main frequency position of the patient with myocardial disease is more difficult to identify than the normal person shown in the fourth and fifth b pictures. The frequency spectrum of zero energy appears frequently. The analysis results obtained by a large number of measurements of the present invention show that there is generally no heart :: the surface pulse energy spectrum chart can clearly read out the four to five main energy distributions (the main frequency), depending on individual heartbeat The rate varies, around 1Hz is usually the place where the maximum month b occurs, and the energy gradually decreases towards the frequency band. Except for the main four or five frequencies, there is no other clearly visible spectrum distribution, and there are many values on the frequency axis. It is zero, and the pulsation signals measured by patients with heart disease are analyzed by energy spectrum analysis. In addition to the five main frequencies, it is often obvious that certain spectrums with less energy than the main frequency energy appear. The wider the appearance of these non-zero-valued spectrums, the more irregular the pulsation signals, and the more rapid changes they contain. The unstable signals, even more serious ones, have even more irregular signals, which cannot be distinguished from the main frequency. Therefore, in the energy spectrum of heart disease patients, in addition to the main frequency, there are many non-zero energy quantities in the frequency domain. , And cardiovascular 12 200409614 is greatly related to the disease. Therefore, the following steps are used to define the tube step _ 17 I step 16 and the heart index meter-^ step Π, and the relationship between the pulse signal energy _ The division of n κ w between the result of the knife and the functioning gate of the heart is as a criterion of quantification 5 ^ ^ Written as-a program software type formula, so that the present invention can be used to cooperate-storage process silk body == Γ, CD-ROM or hard disk) and an executable software (such as a computer, personal digital assistant or medical instrument) that can execute the program software, and quickly interpret the difference from the blood supply for those who measure blood pressure immediately Reference without waiting for its social fruit ° ίο

15. In this example, the heart index (he milk. Mdex) in step 16 is as follows. First, in the energy spectrum density map obtained in step 15, 'point D to the -th main frequency is defined as the _th interval, and between the -th main frequency and the second main frequency is defined as the second interval, and the second main frequency to the third main frequency is defined as The interval is defined as: three intervals, the fourth and even fifth frequencies are still available after the third frequency, and the degree of obviousness varies from person to person. Here is defined as the fourth interval. As shown in Figure 7, when the energy spectrum distribution in each section meets the following [Formula 3]: ^

That is, a significant spike occurs at point i. If [s⑴-s (i-ι) > ν〇 or s⑴-s (i-2) > v〇 20 ^ [S (r) -S (i + 1) > γ〇 ^ S (i ) -S (i + 2) > V〇] [Equation 3] where VG / 50, Pi is the first main frequency amplitude. The total number of spikes in the first to fourth intervals is defined as the cardiac index. Then in step 17 of the calculation of the heart index, the definition 13 200409614 obtained in step 16 is used to calculate the heart index of the fourth b, fifth b and six w graphs. The heart index of the fourth b, five b graphs can be paid. 〇. In other words, although the same subject ’s normalized heartbeat and spectral energy values before and after exercise are different, their heart indices are the same, so the heart index is not the same as that of the subject at the time of 5 measurements. Affected by the status. As for the heart disease patient in the sixth dagger figure, after normalization, his heart index is 23, which is obviously different from the normal test subjects in the fourth and fifth b figures, so the heart index can indeed be used as one of the quantitative and objective heart diseases. • Judgment indicators.

I pointed out that the heart index is not based on the above [Formula 3] as the 10 limit, and the size of the axe parameter Vq can also be adjusted. For example, the spikes or other waveform changes in the above energy spectrum density chart are used as the heart index. The calculation basis is within the essential scope of the present invention. The following are the clinical measurement and analysis results of applying the present invention to a hospital in China. The subjects included 15 201 patients who were consulted in the cardiology department of the hospital, of which 53 were diagnosed by the physician as heart disease patients and 148 were non-Lu heart disease patients. With the calculation of the above-mentioned heart index and clinical diagnosis results, the heart index can be classified according to the following for reference of the normal or not of the heart function of the subject: Heart_index 7 or above: It belongs to the frequent and clear heart beat frequency. 2 Gu's irregular contraction of heart and spleen is a characteristic of many heart diseases. -Heart and dirty fingers * 4 ~ 6: It means that the heart has abnormal beating, which is a characteristic of high risk of heart disease or has suffered from heart disease; and the heart index is below 3: It means that there is no abnormal heart beating frequency during measurement. The heart number is mostly zero. 14 zuu ^ uyoi ^ If judged by a physician again, the analysis of 53 subjects with ~ urban disease patients included valvular disease, forgetting 7q, and 13 patients with sclerosis, myocardial disease (including myocardium Lesions and fire) 12 cases, arrhythmia 7 cases, and coronary artery disease 21 cases. The relevant statistics of patients with various diseases and their corresponding cardiac indexes are shown in the following table-7R

4 ~ 6 7 or more — (percent) (percent) T (7.69%) ~ 11 7 84.62%)

Coronary artery disease (33.33%) (28.57%) (38.10%) 14 (66.67%) * Total _ _ I 10 * (18.87%) 14 (26.42%) 29 (54.72%) 43 (81.13%) 'Table 1 Statistics on patients with various diseases and their corresponding cardiac indices10. According to Table 1, 13 cases of valvular disease were found in all samples, with an abnormality detection rate of 84 birds plus a suspected abnormality detection rate. .31%. Among the u samples of myocardial disease, the abnormality detection rate was 66.67%, and the suspected abnormality extraction rate was 25%. The measurable ratio was 91. 67% ′, which is also an easily measurable condition. There were 7 cases of arrhythmia samples. Among them, the proportion of suspected abnormalities was 5L U%, and the prevalence of abnormalities was 28.57%, a total of 85.71%. There were a total of samples of coronary artery disease. 15 200409614 Among them, the abnormal detection rate is 38.10%, the suspected abnormal detection rate is 28.57%, Erhe 66.67%, and the omission rate is high, reaching 33 33%. The reasons will be described in detail later. θ Here, it is necessary to explain. Because the total sample size is only 53 cases, the maternal sample size is small. As far as the math is used to calculate the detection rate, the percentage number obtained is not enough to be a conclusive conclusion, and it is for reference only. And 1F analyze the relationship between the above-mentioned various heart diseases and their corresponding heart indices and their possible causes in order: f First, in terms of heart valve diseases, they can be classified into 10 abnormalities of the aortic valve, abnormalities of the mitral valve, and lungs. Valve abnormalities, tricuspid valve abnormalities, atrial or ventricular septal defects, etc., cause different pulsation spectrum distributions for different reasons. For example, the iliac aortic valve causes tissue fibrosis due to congenital malformation or calcification, leading to active valve stenosis. When the heart contracts, the stenosis of the aortic valve will prevent the blood in the left ventricle from flowing into the aorta, depending on the degree of stenosis. May lead to 15 different levels of privacy. At this time, the heart will try to compensate for the blood circulation disorder (compensation • effect) 'in order to keep the amount of blood flowing from the left ventricle into the aorta not too low. Therefore, there are several ways to respond to heart palpitations: First, increase the left ventricular contractile force. This phenomenon will cause the left ventricular muscle wall to thicken, so that it can push the blood with greater force; and 20 I. Extend the systolic time, the heart contracts The time period is longer than normal. The period beads can make more blood flow from the left ventricle into the aorta. Increasing the workload of the left ventricle and increasing the blood pressure of the left ventricle in the above-mentioned manner keeps the heart constantly and rapidly contracting, but the pulse may still be weak, and the patient may have symptoms such as fatigue, dyspnea, dizziness, and chest pain. In the eighth figure 16 200409614, the heartbeat acquisition signal and energy spectrum analysis chart of a patient with valvular disease does not show that this amount of spectrum may be caused by blood flowing from the left ventricle into the aorta. Interference is caused to generate additional frequency signals; the other 5 due to changes in the time or strength of muscle contraction can also be observed in this analysis, and the heart index is 22. Figure 29 shows the heartbeat acquisition signal and energy spectrum analysis of one of the patients with cardiomyopathy. The heart index is 22. 10 As shown in the tenth figure, the heartbeat acquisition signal and energy spectrum analysis chart of an arrhythmia patient have a heart index of 5. In the case of arrhythmia, the heart number is between 4 and 6, with a percentage of 57%, and the cardiac index is 7 and the above accounted for 28.57%. It shows that although arrhythmia can be abnormal in this analysis method, 15 However, the energy spectrum analysis chart shows only a few additional frequency distributions. Unlike the cases of patients with valvular disease or myocardial disease, there are obviously chaotic frequency distributions, which makes the heart index as high as 10 or more. In the case of arrhythmia, although the omission percentage is higher than $ 14.29%, this value is not too systematic and significant because the total sample size is small. The missing case was a 75-year-old man whose signal was particularly weak, and no abnormalities were identified in this analysis. 20 As shown in Figure 11, a heartbeat acquisition of a patient with coronary artery disease and energy spectrum analysis chart L index 48. Obstacles to the flow of gray fluid in the coronary arteries are mostly caused by atherosclerotic arches. Cholesterol and lipids are deposited on the intima of the arterial blood vessels, which narrows the ducts. Coronary artery diseases also include a few congenital malformations or coronary artery abnormalities expansion. Ischemic heart disease occurs when coronary arteries become diseased and oxygen and nutrients cannot be supplied normally. However, patients with ischemic heart disease are often not observed during weekdays. 17 ίο

70 (63.64%) 200409614 When the patient's heart workload is increased (such as sudden changes in sports environment and mood swings), L muscle may cause angina due to hypoxia. In the case of coronary artery disease, the percentage of T. mori withered was only 1%, the suspected abnormality was 28 57¾, and the number of undetected debts was as high as 33.33%. According to the figures, about 60% of patients with coronary artery dysfunction will have abnormal myocardial contraction frequency, but Gu Yishi, 贝, Bei hand @You 20% or more can not be known under weekday rest conditions. As for the 148 non-cardiac and visceral patients in the aforementioned subjects, Gao's diseased heart accounted for 11G_. The relevant statistics of hypertension and non-hypertension patients and their corresponding cardiac indexes are shown in Table 2 below. Μ Index Types Above South Blood Pressure Patients (Percent ιίΤΤΓτϊ%)

4 ~ 6 (Percentage 26 ~~ (23.64%)

Non-I blood pressure and non-heart: sick patients 31 (81.58%) _ _ mmmmm 101 (68.24%) 5 (13.16%) 2 (5.26%) (ϊ 2%) 'Total 31 (20.95%) 16 (10.81%) Table The statistics of the second and second hypertension and non-hypertensive patients and their corresponding cardiac indexes can be seen from Table 2. The proportion of the heart index of the hypertension group greater than 4 is 15 36.37%, which is higher than the non-hypertensive 18.42%. In other words, the frequency of myocardial contractions in patients with hypertension is suspected to be abnormal or higher than in the general population. In fact, the local population is one of the high-risk groups for cardiovascular disease, and a few of them have already shown signs. The twelfth figure shows one of the non-heart disease and non-hypertension 18 200409614 'its heart index is 0, the heartbeat acquisition signal and energy spectrum analysis chart of the patients in the aforementioned eighth to eleven are regular and clearly displayed The main frequency distribution is clearly different from the chaotic situation. In summary, the present invention has the following advantages over the conventional technology:

2. This service will directly use the pulsation signal which is generally unused and measured by non-invasive blood pressure measurement. After simple processing, it will be used as the reference basis for judging the heart function of the subject without any additional or even expensive Pulsation or heartbeat measuring instruments and equipment, so it can be described as _ economical, safe, simple and can be widely promoted and popularized to ordinary families, for users to measure blood on a daily basis. As a reference for doctors or doctors. 2. As shown by the differences in the pulse energy spectrum of normal subjects in the fourth a and fifth a and the myocardial disease patients in the sixth a, the main frequency positions of the energy spectrum of the myocardial disease patients are more difficult to identify than normal people. And 15 non-zero energy spectrums appear frequently between each main frequency, so the pulse energy spectrum can be used as a preliminary basis for judging whether the subject has heart disease.

Second, by further normalizing the energy spectrum, the characteristics of the heart index presented are the same regardless of whether the subject is in a state of rest or after exercise, so that the present invention is independent of the activity state and time of the subject. Both the ground and the ground can be measured and applied at any time without affecting the results. Compared with the limitation that most conventional technologies need to measure human physiological data in a specific state, the present invention is highly flexible. 4. As mentioned above, the present invention can automatically and quickly calculate a program software in conjunction with a computer for the subject's immediate reference without having to wait for a long time for his interpretation. 19 200409614 Results, for the subject, early prevention or immediate medical consultation Corresponding diagnosis and treatment procedures can be adopted to make the subject's health possible. The accuracy of the practical application can be determined by the present invention. Visceral organ disease; Causes vary according to the type of heart disease. Not all heart diseases are worthless. The contraction or pulse rate is different in f, which can be done in the aforementioned samples: the average measured rate is about 8G%, which proves that the present invention is quite reliable and reliable.

10 15

6. In the above samples, those diagnosed by the physician as having a normal heart are still questioned by nearly 32% of the results compared with the present invention (especially for patients with high domains). 'The standard of the present invention's _zhenxin_ seems to be relatively Physicians are rigorous and can play a role in warning patients in advance of possible heart disease. However, the above are only the preferred embodiments of the present invention. When the scope of implementation of the present invention cannot be limited in this way, that is, the simple equivalent changes and modifications made according to the scope of the patent application and the description of the invention, All should still fall within the scope of the invention patent. [Simplified description of the figure] Diyi diagram is a flowchart of the steps of the preferred embodiment of the method for analyzing the correlation between the pulsation signal and the cardiac function of the present invention; Diyi diagram is obtained from the pulsation measurement step of the Han Jiajiaguan embodiment A complete original signal diagram of 20; the third a and three b diagrams are a measured pulsation signal diagram of the subsequent stage, and the energy spectrum diagram obtained from the latter pulsation signal through an energy spectrum conversion step; the fourth a diagram is A normal subject's heartbeat / component 20 at the resting state 20 200409614 measured the pulsation signal and energy spectrum of the latter segment, and the fourth graph b is the result of the fourth a graph after frequency normalization and energy normalization; the fifth a graph For the normal subjects, the pulse signal and energy spectrum of the latter segment measured at 120 beats / component after the post-exercise heart beat, and the fifth b diagram is the result of the fifth 5a diagram after frequency normalization and energy normalization; Figure 6a is a pulsation signal and energy spectrum of a heart disease patient with a heartbeat of 65 beats / component measured at rest. Figure 6b is the frequency normalization and energy normalization of Figure 6a. Results; the seventh picture is One of the preferred embodiments is that the parameters of the heart index definition step 10 are not intended. The eighth picture is a heartbeat acquisition signal and energy frequency analysis chart of a valve disease patient. The ninth picture is a heartbeat acquisition signal of a cardiac disease patient. And energy spectrum analysis chart; 15 The tenth chart is the heartbeat acquisition signal and energy spectrum analysis chart of an arrhythmia patient; the eleventh graph is the heartbeat acquisition signal and energy spectrum analysis chart of a coronary patient, and the tenth The second figure is a 20-read analysis of the heartbeat acquisition signal and energy frequency of a non-cardiac patient. 21 200409614 [Brief description of the main components of the diagram] 11 ......... pulse measurement step 12 ......... the previous signal removal step 13 ......... frequency domain conversion step 14 ... ... energy spectrum conversion step 15 ...... normalization step 151 ... energy normalization step 152 ... frequency normalization step 16 ......... heart index definition step and 17 ........ ..u dirty index calculation step 31 ......... original signal 311 ... pulse signal 312 in front ... pulse signal 22 in back

Claims (1)

200409614 l ^ A method for analyzing the correlation between pulsation signals and cardiac function, which is used to process a pulsation signal of a subject measured by a blood pressure measurement within a certain period of time 'as a reference for the subject's cardiac function Index, the method includes (1) performing energy spectrum conversion on the pulsation signal; (2) normalizing an energy spectrum obtained by the conversion; and (3) calculating a predefined heart index from the normalized energy spectrum And the heart index is used as a reference index for judging the heart function of the subject 2. According to the application: The method described in item 1 of the patent scope, further includes before the pump motor of the sphygmomanometer is stopped before the step (work). The pulsation signal is discarded during that time. 3. The method according to item 1 of the scope of patent application, wherein the step (d includes: α -1) frequency domain conversion of the pulsation signal to obtain a corresponding spectrum; and (1-2) calculating the spectrum Power spectral density. 4. The method according to item 3 of the scope of patent application, wherein step (1_1) is performed by a fast Fourier transform method. 5. According to the method described in the patent claim (1), wherein this step does not include-energy normalization step (2-0 and 1-rate normalization step (2_2)) 6. According to item 5 of the scope of patent application The described method, _ θ x ^ Dan τ, can be set to normal 23 200409614 The step (2-1) is based on normalizing the amplitude of a maximum fundamental wave in the energy spectrum. 7. According to the scope of patent application The method described in item 5, wherein the frequency normalization step: (2-2) is based on the selected heart rate as a normalization standard. 8. According to the method described in item No.! Of the patent scope of claim, it further includes: -In step (3), please do not define the step of the cardiac index, and the cardiac index is defined as the sum of the significant spike numbers in all the intervals of the normalized energy spectrum chart. The said method, wherein the meaningful spike wave system is determined according to the following formula: * iS (i) —S (i —1) > VG or S (i) ~ S (i-2) > Vq ] And: [S (i) -S (i + l) > v0 or S (i) -s (i + 2) > v〇] The i-th point of chaos is a meaningful spike, where s⑴ For the i-th point, turn it into Measure the frequency spectrum, Vfl = Pl / N, and P1 is the amplitude of a maximum fundamental wave in the normalized energy spectrum, and N is a constant. 10. According to the method described in item 9 of the patent scope, where, the The constant N is 50 ° 11. A storage medium that stores a program software for each step of the method described in the first patent scope of the patent application. 12_: species, the correlation between the signal and cardiac function An analysis method is used to perform a pulse signal of a subject in a certain period of time from a blood test = as a basis for analyzing the correlation of the heart function of the subject. The method includes: ⑴ the pulse signal Perform frequency domain conversion to obtain a corresponding spectrum 24; and ⑵ calculate the power spectral density of the spectrum to obtain a corresponding energy spectrum diagram. 13 = The method described in item 12 of the scope of patent application, further including step ⑴ W The pulsation signal during the period before the pump motor of the blood dust meter is stopped is discarded. According to the material described in item 12 of the towel material, it is further included in step ⑵ Rain will talk about the normalization of the energy spectrum diagram ( 3) κ is based on μ described in item 14 of the scope of the patent application, and further includes a pre-defined heart index calculated from the normalized energy spectrum diagram after step ⑶. 16. · A storage medium storing an executable patent scope Program software for each step of the method described in item M. 17. A method for determining cardiac function by using a pulsation signal to process a pulsation signal from a subject measured by a blood pressure measurement within a certain period of time ' ; Judging the subject's cardiac function state, the method includes: (1) energy spectrum conversion of the pulsation signal; (2) regularization of an energy spectrum obtained by the conversion; and (3) by the normalized The energy spectrum calculates a predefined cardiac index; and (4) determines the subject's cardiac function status based on the cardiac index. 18. The method according to item 17 of the scope of patent application, wherein step (4) comprises determining whether the subject has a heart disease. 19. The method according to item 17 or 18 of the scope of patent application, wherein step (4) comprises determining the type of heart disease of the subject. 25 200409614 20. —A storage medium storing program software that can execute each step of the method described in item 17 of the scope of patent application. 26