TWI678187B - Method for expressing characteristic points of heart beat and expressing physiological state of heart by using sequence diagram - Google Patents

Abstract

A method for expressing characteristic points of heart beat and expressing physiological state of the heart by using sequence diagram. Detect a physiological state of the heart to generate certain sequence data, and then convert the sequence data to sequence circle data, so that the absolute value is converted to a relative value, and RR interval variation is excluded from the feature point (heart beat cycle). The timing of the specific event within the time), the heart's physiological state is intuitively judged by the angle and radius of the sequence circle (1, the radius of the sequence circle indicates the speed of the heartbeat; 2, the large change in the radius of the sequence circle indicates that the individual's heartbeat is poor in regularity The probability of arrhythmia increases; 3, the sequence circle represents the timing of each characteristic point in the heart beat cycle through the angles relative to the R point, removing the misjudgment that the characteristic point occurrence time is expressed in absolute time).

Description

The method of using sequence diagram to represent the characteristic points of heart beat and to express the physiological state of the heart law

The present invention relates to a method for expressing a physiological state, in particular to a method for expressing characteristic points of a heart beat and expressing a physiological state of the heart by using a sequence diagram.

Heart disease is the most serious and high proportion of diseases in an aging society. According to statistical data, heart-related diseases rank second among the top ten causes of death in the country. In order to monitor the cardiac function of patients with heart disease, patients must return to the hospital for regular examinations, and use electrocardiogram (ECG) to measure the electrophysiological response of the heart to determine ventricular fibrillation (VF), and atrial fibrillation (AF) , Ventricular tachycardia (VT), Premature ventricular contraction (PVC), and Premature atrial contraction (PAC), etc., which is the timing data corresponding to the so-called electrophysiological signals used to determine the electrical heart Physiological response to understand the electrophysiological state of the heart.

However, in the case of heart failure (HF) or Vavular heart disease (VHD) and other conditions, in addition to using ECG measurements in the hospital, patients must also use M-mode ultrasound (M-mode ) Examination or Doppler ultrasound examination to take continuous dynamic images to assist physicians in assessing the abnormal characteristics of cardiac pump function, cardiac muscle contraction, and opening and closing of cardiac valve.

However, the above two types of cardiac abnormalities require continuous measurement of the heart's time series data to accumulate a certain level of signal before judging whether the physiological state of the heart is abnormal, and the change in heart rate will also affect the different heart beat cycles. The total time and the point in time at which a particular event occurred during the heart beat cycle. Therefore, in order to eliminate the influence of the heart rate change and to quickly know the physiological state of the heart, if the existing measurement and judgment methods do not consider the influence of the heart rate change, it is likely to cause deviations in judging the physiological state of the heart.

Based on the above, it can be known that the present invention provides a method for quickly removing the effects of heart rate changes and determining whether there is an abnormality in the physiological state of the heart. Therefore, the present invention proposes a sequence diagram to represent the characteristic points of the heart beat and express the physiological state of the heart Method: By changing the sequence line data into sequence circle data, the absolute value is converted into a relative value, and the effect of RR interval variation on the characteristic points (the specific event occurrence point in the heart beat cycle) is removed to provide a comparative Intuitive manifestation of the physiological state of the heart.

An object of the present invention is to provide a method for expressing characteristic points of cardiac beats and expressing the physiological state of the heart by using a sequence diagram, which provides users with a more intuitive method for determining whether the heart state is abnormal and removes heart rate changes (RR interval variation) on the feature point (the point in time at which a particular event occurs during the heart beat cycle).

It is an object of the present invention to provide a method for expressing characteristic points of cardiac beats and expressing the physiological state of the heart by using a sequence diagram, which can provide a user to judge whether the state of the heart is abnormal or more quickly.

Aiming at the above object, the present invention provides a method for expressing characteristic points of cardiac beats and expressing the physiological state of the heart by using a sequence diagram, which first uses a sensing unit to detect an electrophysiological state and a mechanical physiological state of a heart to generate A heart beat cycle characteristic point occurrence timing data, the heart beat cycle characteristic point occurrence timing data is a certain sequence data; then, a plurality of heart beat characteristic points and a heart beat cycle (RR interval) are converted according to the sequence line data. Then, a heart sequence circle data is obtained, and the characteristics of the heart beat circles are based on the heart rate and time ratio values of the polar coordinates of the plurality of heart beat feature points and the angles corresponding to one of the physiological states of the heart. An R point on the sequence line data corresponds to an angle zero of a polar coordinate of a heartbeat characteristic point on the sequence circle data; and a visual judgment is made on whether the physiological state of the heart is abnormal based on the heart sequence circle data to generate a Heart judgment result. The heartbeat cycle is proportional to the radius of the polar coordinates of the heartbeat feature points. Therefore, by using the heart sequence circle data, people or medical personnel can intuitively understand the physiological state of the heart.

The present invention provides an embodiment in which the heart sequence circle data includes a plurality of sequence circle figures, and the sequence circle figures are concentric circles.

The present invention provides an embodiment, which is a diastolic phase and a systolic phase of the heart beat cycle. Angles corresponding to different polar coordinates of the sequenced circle data.

The present invention provides an embodiment in which the plurality of feature points correspond to the polar coordinate angles of the plurality of heart beat feature points of the sequence circle pattern.

The present invention provides an embodiment in which there is at least one polar coordinate included angle offset between the polar coordinate included angles of the plurality of beat characteristic points of the heart in the normal state and the polar coordinate included angles of the plurality of beat characteristic points of the heart in the abnormal state The angle offset of the polar coordinate corresponds to the regularity of the occurrence time of the heart beat cycle, which is one of the physiological states of the heart.

The present invention provides an embodiment in which there is at least one polar coordinate radius difference between the plurality of polar coordinate radii of the heart in a normal state and the plurality of polar coordinate radii of the heart in an abnormal state, and the polar coordinate radius difference corresponds to the One of the physiological states of the heart.

The present invention provides an embodiment in which the heart sequence circle data includes a time movement trajectory, and the change in the angle of the polar coordinates of the plurality of heart beat characteristic points at the time movement trajectory corresponds to the variation of the time proportion value of the plurality of heart beat events. .

The present invention provides an embodiment in which the cardiac sequence circle data includes a normal mode sequence circle figure and a quantity measurement sequence circle figure, and the quantity measures the change in the polar coordinate angle between the sequence circle figure and the normal mode sequence circle figure. The amount of change in the polar coordinate radius corresponds to the variation of the time regularity of a heart beat cycle and the regularity of a heartbeat.

The present invention provides an embodiment in which the normal-mode sequential circle pattern is time-series data of the characteristic points of the cardiac pulsation cycle corresponding to normal subjects of the same age or normal subjects with no abnormal physiological state of the heart.

In summary, the method provided by the present invention uses a sequence diagram to represent the characteristic points of the heart beat and express the physiological state of the heart, which provides users with a more intuitive sequence diagram to determine the physiological state of the heart.

10‧‧‧ mobile device

102‧‧‧ arithmetic processing unit

104‧‧‧Storage unit

12‧‧‧ sensing device

122‧‧‧first sensing unit

124‧‧‧Second sensing unit

APP‧‧‧App

BODY‧‧‧Living

C‧‧‧heart

C1‧‧‧ aortic valve body surface area

C2‧‧‧ mitral valve body surface area

C3‧‧‧ Pulmonary valve body surface area

Cdata‧‧‧Heartbeat data

E‧‧‧ Electrical timing data

LA‧‧‧Left hand

LL‧‧‧Left foot

LVEF‧‧‧left ventricular ejection fraction

LVET‧‧‧ Left ventricular ejection time

M‧‧‧ mechanical timing data

RA‧‧‧ Right Hand

Result‧‧‧heart judgment result

Sdata‧‧‧ Heart Sequencing Circle Information

S100‧‧‧ Detects the physiological state of the heart to generate sequence line data

S110‧‧‧ Converts the sequence line data to generate heart sequence circle data

S120‧‧‧ Intuitively determine the physiological state of the heart based on the data of the heart sequence circle

FIG. 1 is a flowchart of an embodiment of the present invention; FIG. 2 is a schematic diagram of a sensing device according to an embodiment of the present invention; FIG. 3 is a schematic diagram of measurement timing data of a sensing unit according to an embodiment of the present invention; FIG. 4 is a schematic diagram of signal graph conversion according to an embodiment of the present invention; FIG. 5 is a schematic diagram of the present invention A flowchart of judging the physiological state of the heart according to one embodiment; FIG. 6 is a schematic diagram of the physiological state of the heart according to an embodiment of the present invention; and FIG. 7 is a sequential circle control pattern according to an embodiment of the present invention FIG. 8 is a schematic diagram of a sequence circle comparison pattern according to an embodiment of the present invention.

In order for your reviewers to have a further understanding and understanding of the features of the present invention and the effects achieved, I would like to provide a better embodiment and a detailed description with explanations as follows: In the following, the drawings will be used to explain this Various embodiments of the invention will be described in detail. However, the concept of the invention may be embodied in many different forms and should not be construed as limited to the exemplary embodiments set forth herein.

First, please refer to FIG. 1, which is a flowchart of an embodiment of the present invention. As shown in the figure, the present invention is a method. The steps include: step S100: detecting the physiological state of the heart to generate sequence line data; step S110: converting the sequence line data to generate heart sequence circle data; and step S120: Visualize the physiological state of the heart according to the data of cardiac sequence circle.

As shown in step S100, referring to FIG. 2 and FIG. 3 together, it is a schematic diagram of a sensing device and a timing measurement data of a sensing unit according to an embodiment of the present invention. As shown in FIG. The method of the invention is applied to a heart health management system 1, which includes a host 10 and a sensing device 12, the host 10 is provided with an arithmetic processing unit 102 and a storage unit 104, and the sensing device 12 is provided with a first sensing unit 122 and a second sensing unit 124. The host 10 is connected to the sensing device 12 and is connected to the first sensing unit 122 and the second sensing unit 124 through the application APP data executed by the arithmetic processing unit 102 to receive the first sensing unit 122 and the second sensing unit. The electrical timing data (for example: electrocardiogram ECG) and the mechanical timing data (for example: electrocardiogram SCG) sensed by the measuring unit 124.

Following the above, as shown in FIG. 3, the first sensing unit 122 is configured to sense the electrophysiological sensing position of the heart part C of a living BODY, and the second sensing unit 124 is configured to sense a living heart valve The external area of the membrane position to detect the electrophysiological state and mechanical physiological state of the heart. For example, as shown in FIG. 3, the first sensing unit 122 is the three best limb guides for measuring the electrical time series data measurement area. The polar position includes a right hand RA, a left hand LA, and a left foot LL. The second sensing unit 124 senses the aortic valve body surface area C1, the mitral valve body surface area C2, and the pulmonary artery valve body surface. In area C3, electrical timing data E and mechanical timing data M are measured.

The host 10 receives electrical timing data E and mechanical timing data M generated by the sensing device 12 via the first sensing unit 122 and the second sensing unit 124, and confirms that the electrical timing data E passes through the first sensing unit 122 at the host 10. After transmitting to the host computer 10 and confirming that the mechanical timing data M is transmitted to the host 10 via the second sensing unit 124, the arithmetic processing unit 102 starts executing the application APP to receive and collect the electrical timing data E and the mechanical timing data M in order to transfer the electrical The timing data E and the mechanical timing data M are converted into heartbeat cycle characteristic point occurrence timing data Cdata and stored in the storage unit 104. The heartbeat cycle characteristic point occurrence timing data Cdata is sequence data.

As shown in step S110, and referring to FIG. 2 and FIG. 4 together, the host 10 uses the arithmetic unit to execute the application APP, and converts the cardiac pulse cycle characteristic point occurrence timing data Cdata into cardiac sequence circle data Sdata and Stored in the storage unit 104, wherein the heart sequence circle data Sdata is a sequence circle pattern, which is different from the time domain signal pattern recorded by the heart beat cycle characteristic point occurrence timing data Cdata. In this step, the heart beat cycle In the process of converting the characteristic point occurrence timing data Cdata to the cardiac sequence circle data Sdata, the cardiac sequence circle data Sdata is further corrected; as shown in Figure 4, the cardiac beat cycle characteristic point occurrence timing data Cdata contains electrical timing data The ECG signal corresponding to E includes five characteristic points defined from the signal spectrum, which are Q, R, and S waveforms; among them, the definitions of Q, R, and S waveforms are well known to those skilled in the art, and will not be described again.

Continuing the above, the characteristic points contained in the SCG signal corresponding to the mechanical timing data M are MC, AO, AF, AC, MO, MFE, and MFA. Among them, MC is the time when the mitral valve is closed, and AO is the initial time when the aortic valve is opened. At time, AF is the time point of maximum aortic valve blood flow, AC is the time point when the aortic valve is closed, MO is the time point when the mitral valve is opened, MFE is the time point when the mitral valve is first deformed, and MFA is the time point when the mitral valve is first deformed. Time point of the second largest deformation. Therefore, various periods are generated. For example, the time from the start of the Q waveform to AO is the pre-ejection period (PEP). The pre-ejection period (PEP) includes the motor delay (EMD) and the equal volume contraction period (IVCT). (MC) n to The interval of AC is during left ventricular systole (SYS), (MC) n to AO The interval is equal volume systole (IVCT), AC to (MC) n + 1 is left ventricular diastolic period (DIA), AC to MO is equal volume diastolic time (IVRT), and MO to (MC) n + 1 is left Ventricular congestion time (LEFT), the interval from AO to AC is the left ventricular ejection time (LVET), AO to AF is the rapid ejection period (RET), MO to MFE is the rapid congestion period (RFT), and the cardiac contraction coefficient CC The PEP divided by LVET, and the cardiac efficiency index (MPI) is the sum of IVCT and IVRT, and then divided by LVET. Furthermore, the feature points described in the above-mentioned embodiments and the period during which they occur are examples, but are not limited thereto.

Following step S120 described above, after the timing data Cdata of the heart beat cycle characteristic point is converted to the heart sequence circle data Sdata, the heart sequence circle data Sdata also includes Q, R and S waveforms and MC, AO. , AF, AC, MO, MFE and MFA. However, because the heart sequence circle data Sdata is a plurality of sequence circles, the diameter of which is proportional to the difference between the systolic and diastolic periods (SYS + DIA) obtained from each measurement, so it is easier to determine the heart. Changes during systole and diastole (SYS + DIA), for example: arrhythmic patients, the heart sequence circle data Sdata will record a number of sequence circle diagrams with different diameters, so the heart sequence circle data Sdata does not need to be re-understood With each signal measurement cycle, you can easily determine the cyclic changes of the heart.

Subsequently, the application APP judges whether the heart is abnormal according to the data of the heart sequence circle Sdata, among which the application APP is based on the Q, R and S waveforms and MC, AO, AF, AC, MO, MFE and MFA. The change of the cycle time obtained from the characteristic points determines whether the physiological state of the heart is abnormal. At the same time, the application APP will evaluate and judge the physiological state of the heart corresponding to the data of the heart sequence circle Sdata, as shown in FIG. 5. S132, the host 10 executes the application APP through the arithmetic processing unit 102 and generates a heart judgment result Result according to the heart sequence circle data Sdata. If normal, execute step S134, and if abnormal, execute step S136; as shown in step S134, the application The program APP drives the host 10 to display a message screen for judging that the heart state is normal. As shown in step S136, the host 10 displays an abnormal state message screen according to the cardiac diagnosis result Result generated by the application APP.

The abnormal judgments of the corresponding periods of the above parameters MC, AO, AF, AC, MO, MFE and MFA are summarized in Table 1 below:

The three cardiac pulse time parameters, such as the motor delay (EMD), the pre-ejection period (PEP), and the left ventricular ejection time (LVET), are compared with the cardiac efficiency index (MPI) and compared with the left ventricular ejection fraction (LVEF ) Into a positive correlation. Because the heart state is abnormal, the host 10 will transmit the result of the heart diagnosis to the medical unit for the attending physician to determine the connection processing method based on his own medical chip.

As shown in Figure 6, it is similar to the timing data Cdata of the heartbeat cycle characteristic points, motor delay (EMD), pre-ejection period (PEP), and left ventricular ejection time (LVET). CTIs / RR interval and CTIs / (RR interval) ^0.5 and other two normalization / correction calculations can show a significant correlation with left ventricular ejection fraction (LVEF). However, the timing diagram shown in Figure 6 still needs to be analyzed in conjunction with a more professional function program in order for the user to obtain the analysis results he needs. Parameters in the analysis results.

Referring to Figure 4 again, the original time value of each heart beat time parameter is plotted on the time series data of the heart beat cycle characteristic point data, and the absolute value of time is first taken on the time axis. For example, the absolute value is expressed in milliseconds (ms, millisecond), 1ms, 2ms. , ..., N-1ms, Nms, correspondingly converted into sequential circle diagrams are represented by the corresponding values of "degree" (degree) or "radius" (rad), that is, obtained by time length conversion Corresponding angle or diameter conversion method, divide the absolute value of the heart beat time parameter by the heart beat center beat cycle (that is, the period from the time when the mitral valve closes to the time when the next mitral valve closes, MC-MC interval ) And convert it into an angle or a diameter, which is represented by a sequence circle graph in the heart sequence circle data Sdata. Because the heart rate (HR) is related to the ECG central beat cycle (R-R interval) and the ECG central beat cycle (MC-MC interval).

For the sequenced circular figure of the heart sequenced circle data Sdata, its "angle" = (360 °) * [absolute value of time parameter / (MC-MC interval)], so the linear sequence diagram is converted into the sequenced circle figure. It is converted and stored as the heart sequence circle data Sdata. This is equivalent to the normalization / correction calculation of the heart rhythm during the conversion process. The size of the sequence circle represents the individual cardiac cycle time and various characteristic points. The occurrence time is sequentially arranged on the circle of the sequence circle. When the size of the sequence circle or the position of the feature point on the sequence circle changes, this graphical representation method can be used as a convenient way to determine the feature points of the heart beat cycle and the regularity of the heart beat. New interpretation tool. In addition, because the circumference of the sequence circle pattern is equal to (MC-MC interval) or (60 / HR) sec, and its diameter = (MC-MC interval) / (pi), the diameter of the sequence circle pattern is the same as the heart rate. In a proportional relationship, if an individual's arrhythmia occurs, there will be a change in the diameter of the plurality of ordered circle patterns.

Based on the above-mentioned parameter correlation, the sequence circle graph can see whether all feature points (FPs) of the cardiogram are present in a specific period, and it can also be directly known from whether the angle of each feature point changes. Whether each feature point appears at the correct timing (right timing). The confirmation method is to compare the sequence points obtained by the measurement with the feature points of the normal mode sequence circle figure. At the same time, all the feature points can be known at the same time. Whether the alignment timing is normal (right sequencing).

As for the principle of expressing the rhythmicity of cardiac events on the cardiogram graphs through the data of cardiac sequence circle Sdata: (1) the positions of the same feature points on different cardiac cycles are relative The variation (time difference and movement trajectory) can be used to see the variation of the time when the heart beat event occurs; (2) the relative variation of the radius of the sequence circle pattern of different cardiac cycles can be seen to change the heart rhythm; (3) different hearts Degree of systolic (SYS) and diastolic (DIA) variation on the cardiac cycle; (4) between the sequence circle pattern of different patients and the normal mode sequence circle pattern of normal people (as shown by the red circle in the figure above) Comparison of degree of variation; (5) As shown in the seventh figure, in this embodiment, the heart sequence circle data from the first day to the Nth day is taken as an example to determine the variation of the day-to-day. In addition, it can be used to determine the cycle-to-cycle, week-to-week, month-to-month, subject-to subject, and group Group-to-group, patient-to-normal, and other two groups; (6) a specific point in time between different cycles (cardiac) The trajectory can be further parsed into the time point at which the radial deviation and the tangential deviation occur.

Among them, as shown in the seventh figure, the sequence circle data Sdata includes a time movement trajectory Tline, and the angles of the polar coordinates of the plurality of heart beat feature points r1, r2 ..... rN at this time correspond to the plurality of changes. A variation in the proportion of time when a heart beat event occurs, and the polar coordinate radius r1, r2 of the heart in an abnormal state has at least one polar coordinate radius difference between the polar coordinate radius, the polar coordinate radius The difference value corresponds to a regularity of the heartbeat of one of the physiological states of the heart. In this embodiment, polar coordinate radii r1 and r2 are taken as an example.

In addition, as shown in the eighth figure, the sequence circle data includes a normal mode sequence circle figure SdataN and a quantity measurement sequence circle figure SdataM, and the quantity sequence circle figure SdataM and the normal mode sequence circle figure SdataN are polar coordinates. The change of the included angle and the change of the polar coordinate radius correspond to the variation of the time regularity and the heartbeat regularity of a cardiac pulse cycle (that is, the sum of SYS during left ventricular systole and DIA during left ventricular diastole). The normal-mode sequential circle pattern SdataN is corresponding to the heartbeat cycle characteristic point occurrence timing data Cdata of a normal subject of the same age or a normal subject of the same age without abnormal cardiac physiological state.

In the embodiment described above, the method of the present invention can be applied to cardiac health management and emergency processing. The application APP executed by the host computer 10 provides a more intuitive judgment of the physiological state of the heart, and converts the sequence through the sequence line data. Circle data, and convert absolute values to relative values to remove the effect of heart rate changes on feature points (points of time when certain events occur during the heart beat cycle).

However, the above are only preferred embodiments of the present invention, and are not intended to limit the scope of implementation of the present invention. For example, all changes and modifications of the shapes, structures, features, and spirits in accordance with the scope of the patent application for the present invention are made. Shall be included in the scope of patent application of the present invention.

Claims (9)

A method for expressing a characteristic point of a heartbeat and expressing a physiological state of the heart by using a sequence diagram, the steps include: using a sensing unit to detect an electrophysiological state and a mechanical physiological state of a heart to generate a characteristic point of a heartbeat cycle Occurrence timing data, the heartbeat cycle characteristic point occurrence timing data is a certain sequence line data; according to the sequence line data, a plurality of heartbeat cycle characteristic points and a heartbeat cycle (RR interval) are converted to obtain a heart sequence circle Data, the characteristic points of the heart beat cycles on the heart sequence circle data are based on the heart rate and time ratio values of the polar coordinates of the multiple heart beat cycle feature points and the angles corresponding to one of the physiological states of the heart, where the sequence line An R point on the data corresponds to the zero angle of the polar coordinates of a heartbeat characteristic point on the heart sequence circle data; and the physiological state of the heart is intuitively represented according to the heart sequence circle data; wherein the heart beat cycle and the number of The radius of the polar coordinates of the characteristic points of the heart beat cycle is proportional. The method for expressing the characteristic points of the heartbeat and expressing the physiological state of the heart by using a sequence diagram as described in item 1 of the scope of the patent application, wherein the heart sequence circle data includes a plurality of sequence circle figures, and the sequence circle figures are Concentric circles. As described in item 2 of the scope of the patent application, the method of using a sequence diagram to represent the characteristic points of the heart beat and express the physiological state of the heart, wherein one diastole and one systole of the heart beat cycle correspond to different polar coordinate angles of the sequence circle data . The method for expressing a characteristic point of a cardiac pulse and expressing the physiological state of the heart by using a sequence chart as described in item 1 of the scope of the patent application, wherein the plurality of characteristic pulse cycle characteristics correspond to the characteristic of the plurality of cardiac cycle cycles of the sequence circle pattern Point polar coordinates included angle. As described in item 1 of the scope of the patent application, the method of using sequence diagrams to represent cardiac beat characteristic points and express the physiological state of the heart, wherein the heart is in a normal state, the angle between the polar coordinates of the plurality of cardiac beat cycle characteristic points, and the heart is in an abnormal state There is at least one polar coordinate included angle offset between the polar coordinate included angles of the plurality of cardiac beat cycle characteristic points, and the polar coordinate included angle offset corresponds to the regularity of the heart beat cycle occurrence time in one of the physiological states of the heart. The method of using sequence diagrams to represent heartbeat characteristic points and expressing the physiological state of the heart as described in item 1 of the scope of the patent application, wherein the heart is in a normal state, the polar coordinate radii of the plurality of heartbeat cycle characteristic points, and the heart is in an abnormal state There is at least one polar coordinate radius difference between the polar coordinate radii of the plurality of cardiac beat cycle characteristic points, and the polar coordinate radius difference corresponds to a heartbeat regularity of the physiological state of the heart. As described in item 1 of the scope of the patent application, the method of using sequence diagrams to represent cardiac beat characteristic points and expressing the physiological state of the heart, wherein the cardiac sequence circle data includes a time trajectory, and the polar coordinates of a plurality of cardiac beat cycle characteristic points are included at The amount of change in the time movement trajectory corresponds to the variation in the proportion of the time of occurrence of a plurality of heart beat events. As described in item 1 of the scope of the patent application, the method of using a sequence diagram to represent the characteristic points of the heart beat and express the physiological state of the heart, wherein the heart sequence circle data includes a normal mode sequence circle figure and a quantity measurement sequence circle figure, The amount of the change in the polar coordinate angle and the change in the polar coordinate radius of the sequence circle pattern and the normal sequence circle pattern correspond to the variation of the time regularity of a heart beat cycle and the regularity of a heartbeat. As described in item 8 of the scope of the patent application, a method of using a sequence chart to represent the characteristic points of the heart beat and express the physiological state of the heart, wherein the normal-mode sequence circle pattern corresponds to a normal test subject of the same age without abnormal cardiac physiological state Or the timing data of the characteristic points of the heart beat cycle in normal subjects.