KR20210029362A - The system for diagnosing arrhythmia signs - Google Patents

Abstract

The present invention relates to a system for diagnosing arrhythmia signs. According to the present invention, under a system of user information devices (e.g., mobile phones, tablet PCs, laptops, desktop computers, etc.) used by users daily, a user heart sound receiving unit electrically connected to the user information device and converting the user′s heart sound into an electric signal to receive the electric signal, an arrhythmia sign diagnosis unit installed in the user information device and analyzing the user′s heart sound received by the user heart sound receiving unit to diagnose the user′s arrhythmia sign, and the like are additionally arranged/provided. Through this, diagnosis of the user′s signs of heart abnormality (arrhythmia, etc.) can be easily realized through the user information device daily used by the user, thereby stably satisfying the desire of ′I wish I could check my heart condition quickly and conveniently in everyday life′ on the user′s side and supporting the user in efficiently enjoying various corresponding benefits.

Description

The system for diagnosing arrhythmia signs}

The present invention relates to a system for diagnosing signs of arrhythmia, and more particularly, under the system of user information devices (eg, mobile phones, tablet PCs, notebook computers, desktop computers, etc.) that are used by users on a daily basis, <user information devices The user's heart sound receiving unit that is electrically connected to and converts and receives the user's heart sound into an electrical signal>, <the user's heart sound received by the user's heart sound receiving unit while being installed in the user information device. Arrhythmia symptom diagnosis unit>, etc., which can analyze and diagnose the user's arrhythmia symptoms, are additionally arranged/provided, and through this, the user who diagnoses the user's heart abnormalities (arrhythmia, etc.) signs is routinely used by the user. By inducing it to be realized easily through information devices, in the end, from the user's side, while stably satisfying the desire of <I wish to check my heart condition more quickly and conveniently>, various advantages corresponding thereto were provided. It relates to an arrhythmia symptom diagnosis system that can support efficient enjoyment.

Recently, as social interest in health has increased rapidly, interest in diagnosing arrhythmia is also increasing rapidly, and accordingly, various types of arrhythmia-related diagnostic devices have been widely developed/distributed.

For example, Korean Patent Laid-Open Publication No. 10-2008-99675 (name: blood pressure measurement method capable of determining arrhythmia by measuring the degree of movement of a subject) (published on November 13, 2008), Korean Patent Registration No. 10 -1617683 (Name: Arrhythmia Treatment Effect Evaluation System and Method) (announced on May 3, 2016), Korean Patent No. 10-1643892 (Name: Map measuring device and method for simulated arrhythmia electrode catheter ablation) (2016.07 .29), Korean Patent Publication No. 10-2019-88680 (Name: Artificial Neural Network Generation Device and Ventricular Arrhythmia Prediction Device) (published on July 29, 2019), Korean Patent Publication No. 10-2019-94762 (published on July 29, 2019) Name: Arrhythmia detection signal processing method and system of a tree structure for cardiac defibrillators) (published on Aug. 14, 2019), etc., disclose in more detail an example of arrhythmia-related diagnostic devices according to the prior art.

On the other hand, under such a conventional system, many users often have a desire to <I wish to check my heart condition more quickly and conveniently in everyday life>. This is because cardiac abnormalities such as arrhythmia do not have any other subjective symptoms at the beginning of the disease, so if frequent diagnosis in daily life is not preceded, serious situations such as delayed diagnosis or missed appropriate treatment period are often encountered. This is because it may occur.

However, despite this situation, in order to check the user's heart abnormality under the conventional system, in addition to traditional methods such as visiting a hospital and receiving expensive tests (e.g., echocardiography, electrocardiogram, etc.) Since there is no other alternative, the user cannot realize the desire of <I wish to check my heart condition faster and more conveniently> on the part of the user, unless a breakthrough measure is taken. You have no choice but to take the damage intact.

Korean Patent Laid-Open Publication No. 10-2008-99675 (Name: Blood pressure measurement method capable of determining arrhythmia by measuring the degree of movement of the subject) (published on November 13, 2008) Korean Patent Registration No. 10-1617683 (Name: Arrhythmia treatment effect evaluation system and method) (announced on May 3, 2016) Republic of Korea Patent Registration No. 10-1643892 (Name: Map measurement device and method for catheter ablation of simulated arrhythmia electrodes) (Announcement on July 29, 2016) Korean Patent Laid-Open Publication No. 10-2019-88680 (name: artificial neural network generator and ventricular arrhythmia prediction device) (published on July 29, 2019) Republic of Korea Patent Publication No. 10-2019-94762 (Name: Arrhythmia detection signal processing method and system of a tree structure for cardiac defibrillator) (published on August 14, 2019)

Accordingly, it is an object of the present invention under the system of a user information device (e.g., a mobile phone, a tablet PC, a notebook computer, a desktop computer, etc.) that a user uses on a daily basis. User heart sound receiving unit that can be converted into an electrical signal and received>, <When installed in a user information device, it analyzes the user's heart sound received by the user's heart sound receiving unit, and diagnoses signs of arrhythmia of the user. Arrhythmia Symptoms Diagnosis Unit>, etc. that can be additionally arranged/provided, and through this, the diagnosis of the user's heart abnormality (arrhythmia, etc.) signs can be easily realized through user information devices that the user uses on a daily basis. In the end, it is to support the user to stably satisfy the desire of <I wish to check my heart condition faster and more conveniently in everyday life> and to efficiently enjoy the various benefits corresponding thereto.

Other objects of the present invention will become more apparent from the following detailed description and accompanying drawings.

In order to achieve the above object, in the present invention, a user's heart sound receiving unit which is electrically connected to a user information device and converts and receives a user's heart sound into an electrical signal; And an arrhythmia symptom diagnosis unit which analyzes the user heart sound received by the user heart sound receiving unit while being installed in the user information device and diagnoses the user's arrhythmia symptom, wherein the arrhythmia symptom diagnosis unit A heart sound low data recording unit for recording the user's heart sound low data received by the sound receiving unit; An initial peak data list generation module configured to generate an initial peak data list consisting of amplitude, volume, and measurement time by performing a fast Fourier transform of the heart sound raw data; After reading the initial peak data list, derive the maximum volume of each peak data, remove peak data whose maximum volume is less than the reference value, and create an effective peak data list consisting of measurement time, amplitude, volume, and period. A valid peak data list generation module; After reading the valid peak data list,'comparing each peak data from the start of the valid peak data list to the reference time for deriving the first heart sound, and selecting the peak data having the largest amplitude among the corresponding peak data as first The first second heart sound selection procedure for selecting the heart sound','The first second heart sound to select the peak data existing between the first first heart sound and the second heart sound derivation reference time among the peak data as the first second heart sound. Heart sound selection procedure','In each peak data existing after the reference time for deriving the second heart sound, the first peak having a similar amplitude within the reference error range and the amplitude of the previous first heart sound including the first heart sound The next first heart sound selection procedure for selecting the data as the next first heart sound, and the second peak data existing between the next first heart sound and the second heart sound derivation reference time from among the peak data. A first heart sound/second heart sound sorting module for performing the next second heart sound sorting procedure for sorting by heart sound; After calculating the average period of each first heart sound and the average period of each second heart sound by calculating the period of each first heart sound and each second heart sound selected by the first heart sound/second heart sound selection module, the following An arrhythmia probability calculation module that calculates an arrhythmia probability based on the first heart sound and an arrhythmia probability based on the second heart sound by calculating the equation of.

(여기서, E_i1은 i번째 제1심음의 오차 값, P1은 제1심음의 평균주기, p_i1은 i번째 제1심음의 주기)(i=1,2,3,‥‥)

(Here, E _i 1 is the error value of the i-th first heart sound, P1 is the average period of the first heart sound, p _i 1 is the period of the i-th first heart sound) (i=1,2,3,...)

(여기서, E_i2는 i번째 제2심음의 오차 값, P2는 제2심음의 평균주기, p_i2는 i번째 제2심음의 주기)(i=1,2,3,‥‥)

(Here, E _i 2 is the error value of the i-th second heart sound, P2 is the average period of the second heart sound, p _i 2 is the period of the i-th second heart sound) (i=1,2,3,...)

(여기서, C1은 제1심음을 기준으로 하는 부정맥 확률, E_i1은 i번째 제1심음의 오차 값, P1은 제1심음의 평균주기)(i=1,2,3,‥‥)

(Here, C1 is the probability of arrhythmia based on the first heart sound, E _i 1 is the error value of the i-th first heart sound, and P1 is the average period of the first heart sound) (i=1,2,3, ...)

(여기서, C2는 제2심음을 기준으로 하는 부정맥 확률, E_i2는 i번째 제2심음의 오차 값, P2는 제2심음의 평균주기)(i=1,2,3,‥‥)

(Here, C2 is the probability of arrhythmia based on the second heart sound, E _i 2 is the error value of the i-th second heart sound, P2 is the average period of the second heart sound) (i = 1, 2, 3, ...)

An arrhythmic symptom for generating arrhythmia symptom diagnosis result information including the arrhythmia probability based on the first heart sound and the arrhythmia probability based on the second heart sound, and outputting the generated arrhythmia symptom diagnosis result information through the user information device Disclosed is an arrhythmia symptom diagnosis system comprising a diagnosis result output module.

In the present invention, under the system of user information equipment (e.g., mobile phone, tablet PC, notebook, desktop computer, etc.) that the user uses on a daily basis, <while being electrically connected to the user information equipment, the user's heart sound is used as an electrical signal. User heart sound receiving unit that can be converted and received>, <Arrhythmia symptoms that are installed in the user information device and can analyze the user's heart sound received by the user heart sound receiving unit to diagnose the user's arrhythmia symptoms Since the diagnosis unit> and the like are additionally arranged/provided, under the implementation environment of the present invention, diagnosis of a user's heart abnormality (arrhythmia, etc.) can be easily realized through a user information device that the user uses on a daily basis. In the end, on the user's side, while stably satisfying the desire of <I wish I could check my heart condition faster and more conveniently in my daily life>, it is possible to efficiently enjoy various advantages corresponding thereto.

1 is an exemplary view conceptually showing the overall configuration of an arrhythmia symptom diagnosis system according to the present invention.
2 is an exemplary view conceptually showing a detailed configuration of the arrhythmia symptom diagnosis unit according to the present invention.
3 is an exemplary view conceptually showing a state of acquiring raw heart sound data by a user heart sound receiving unit according to the present invention.
4 is an exemplary diagram conceptually showing an initial peak data list according to the present invention.
5 is an exemplary diagram conceptually showing an effective peak data list according to the present invention.
6 is an exemplary view conceptually showing the output of arrhythmia symptom diagnosis result information according to the present invention.

Hereinafter, an arrhythmia symptom diagnosis system according to the present invention will be described in more detail with reference to the accompanying drawings.

As shown in FIG. 1, the arrhythmia symptom diagnosis system 10 according to the present invention is electrically connected to the <user information device 1 (eg, mobile phone, tablet PC, notebook, desktop computer, etc.), A user heart sound receiving unit 40 that converts and receives a heart sound into an electrical signal, and analyzes the user's heart sound received by the user's heart sound receiving unit 40 while being installed in the user information device 1 Thus, the arrhythmia symptom diagnosis unit 20> and the like for diagnosing the arrhythmia symptom of the user are systematically combined. In this case, the user's heart sound receiving unit 40 is additionally disposed with a sound/electric converter 41 such as a microphone capable of converting an acoustic signal into an electric signal.

In this case, as shown in FIG. 2, the arrhythmia symptom diagnosis unit 20 of the present invention is configured to the user information device 1 side operating system 2, the user information device 1 side through the interface module 21. A heart sound low data acquisition module 22, a heart sound low data processing module 23, which form a communication relationship with a function auxiliary module 3 (e.g., a communication module, a memory module, an information input module, an information output module, etc.) Heart sound low data recording module 24, initial peak data list generation module 25, effective peak data list generation module 26, first heart/second heart sound selection module 27, effective second heart sound selection module ( 28), the arrhythmia probability calculation module 29, the arrhythmia symptom diagnosis result output module 30, and the like are closely combined.

Here, the first heart sound (S1) described above is that the mitral valve and tricuspid valve, which are the atrioventricular valves, are closed, and the blood trying to flow back is blocked, and is heard at the beginning of the systole. The tendon straps attached to the tricuspid valve and the mitral group are attached to the apex muscle and help close the atrioventricular valve. As the inner valve closes, blood cannot flow back from the ventricle to the atrium. The first heart sound The first heart sound (S1) is caused by vibration caused by such a sudden blockage of blood flow.

In addition, the second heart sound (S2) described above is a sound generated when the aortic and pulmonary valves are closed at the beginning of the ventricular diastolic phase. As the left ventricle is emptied, the internal pressure becomes lower than that of the aorta, and as a result, blood flow changes from the aorta to the left ventricle. It is the aortic valve that blocks this blood flow, and the pulmonary valve plays a role in the right ventricle. The second heart sound The second heart sound (S2) is a vibration that occurs when such reversal of blood flow is suddenly blocked.

On the other hand, under the system of the present invention, the heart sound raw data acquisition module 22 side communicates with the user heart sound receiving unit 40 via the interface module 21, as shown in FIG. 3, A procedure for acquiring the user heart sound raw data received by the user heart sound receiving unit 40 is performed (see FIG. 2).

In this way, when the user heart sound low data received by the user heart sound receiving unit 40 is acquired, the low-pass filter is applied at the heart sound low data processing module 23 side, so that the unnecessary frequency band of the heart sound low data is obtained. (E.g., a frequency band of 1000hz or more) is removed, and a resampler is applied to analyze the sample rate of the heart sound raw data. Plate) to proceed (see Fig. 2).

When processing of the heart sound raw data is completed through the above procedure, the raw data recording module 24 proceeds a series of sound source file generation routines, and the heart sound low data acquisition module 22, the heart sound raw data processing module (23) A procedure of recording the raw data of the user's heart sound received/processed in the form of a sound source file having an extension'.wav' is performed (see FIG. 2).

In this way, the user's heart sound raw data received/processed by the heart sound raw data acquisition module 22, the heart sound raw data processing module 23, and the like are recorded in the form of a sound source file having the extension'.wav', for example. Then, the initial peak data list generation module 25 performs a series of Fast Fourier Transform routines for the heart sound raw data, as shown in FIG. 4, and corresponds to each heart sound low data. The procedure of creating an initial peak data list consisting of amplitude, volume, and measurement time will proceed.

Through the above-described procedure, when the initial peak data list consisting of amplitude, volume, and measurement time corresponding to each heart sound raw data is generated, the effective peak data list generation module 26 proceeds a series of information reading routines, The procedure of reading the initial peak data list proceeds.

In this way, when reading of the initial peak data list is completed, the effective peak data list generation module 26 proceeds through a series of information analysis/information processing routines to derive the maximum volume of each peak data, and then the derived maximum volume. By removing peak data less than this reference value, as shown in FIG. 5, a procedure of generating an effective peak data list consisting of measurement time, amplitude, volume, and period proceeds.

When the effective peak data list consisting of the measurement time, amplitude, volume, and period is generated through the above-described procedure, the first heart sound/second heart sound selection module 27 proceeds a series of information reading routines, and the effective peak data The procedure of reading the list will proceed.

In this way, when the reading of the valid peak data list is completed, the first heart sound/second heart sound selection module 27 side, from the start of the effective peak data list to the first heart sound derivation reference time (e.g., 2 seconds). By comparing the peak data, the first heart sound selection procedure of selecting the peak data having the largest amplitude among the corresponding peak data as the first heart sound is performed (see FIG. 5).

When the first heart sound is selected through the above-described procedure, the first heart sound/second heart sound selection module 27 side of the peak data, the reference time for deriving the second heart sound from the first heart sound (e.g., 400 ms ), the first second heart sound selection procedure is performed to select the peak data existing between up to) as the first second heart sound (see FIG. 5).

In this way, when the selection of the first second heart sound is completed, the first heart sound/second heart sound selection module 27 side selects the first heart sound from among the peak data existing after the second heart sound derivation reference time (eg, 400 ms). The next first heart sound selection procedure in which the first peak data having a similar amplitude within the range of the amplitude of the first heart sound and the reference error is selected as the next first heart sound (see FIG. 5).

When the next first heart sound is selected through the above-described procedure, the first heart sound/second heart sound selection module 27 side selects the reference time for deriving the second heart sound from the next first heart sound from among the peak data. 400 ms), the next second heart sound selection procedure is performed in which the peak data existing for the next second heart sound is selected as the next second heart sound (see FIG. 5).

Thereafter, from the side of the first heart sound/second heart sound selection module 27 <, among the peak data existing after the reference time for deriving the second heart sound (eg, 400 ms), the amplitude and the reference error range of the next first heart sound The next first heart sound selection procedure in which the first peak data having a similar amplitude is selected as the next first heart sound>, of each peak data, the reference time for deriving the second heart sound from the next first heart sound (e.g. , 400ms), the next second heart sound selection procedure, which selects the next second heart sound, to select the next second heart sound>, etc., repeatedly proceeds to the end of the effective peak data list, through which each first heart sound and the second heart sound. This completes the process of selecting two heart sounds.

On the other hand, through the above-described procedure, under the situation in which each of the first and second heart sounds is selected, the effective second heart sound selection module 28 proceeds a series of information comparison routines, and the selected <first second heart sound, A procedure of comparing the amplitude or volume of the next second heart sound, the next second heart sound, and the preset second heart sound selection standard minimum amplitude or the second heart sound selection standard minimum volume is performed (see FIG. 5). ),

In this way, the amplitude or volume of the selected <first second heart sound, next second heart sound, next next second heart sound, ……> and the preset second heart sound selection standard minimum amplitude or second heart sound selection standard minimum volume and When the comparison is complete, the effective second heart sound selection module 28 proceeds with a series of information deletion routines, and a second heart sound having an amplitude or volume lower than the second heart sound selection criterion minimum amplitude or the second heart sound selection criterion minimum volume. The removal procedure is performed (see Fig. 5).

Through the above-described procedure, among <the first second heart sound, the next second heart sound, the next second heart sound, ……> When the second heart sound is removed, the arrhythmia probability calculation module 29 proceeds with a series of information calculation routines, and the first heart sound and each second heart sound selected by the first heart sound/second heart sound selection module 27 are selected. Calculate the period of the heart sound, and through this, the average period of the first heart sound (first first heart sound, next first heart sound, second next first heart sound, ...) and second heart sound (first second heart sound, next second heart sound) , The next second heart sound, ...) proceeds to calculate the average period (see Fig. 5).

(여기서, E_i1은 i번째 제1심음의 오차 값, P1은 제1심음의 평균주기, p_i1은 i번째 제1심음의 주기)(i=1,2,3,‥‥)]를 연산하고, 이를 통해, 각 제1심음(최초 제1심음, 차기 제1심음, 차 차기 제1심음,‥‥)의 오차 값을 산출하는 절차를 진행하게 된다(도 5 참조).In this way, the average period of the first heart sound (first first heart sound, next first heart sound, next next first heart sound, ...) and second heart sound (first second heart sound, next second heart sound, next next second heart sound, When the average period of ……) is calculated, the arrhythmia probability calculation module 29 proceeds a series of information calculation routines, and the equation [

(Here, E _i 1 is the error value of the i-th first heart sound, P1 is the average period of the first heart sound, p _i 1 is the period of the i-th first heart sound) (i = 1, 2, 3, ...)] And, through this, a procedure of calculating an error value of each first heart sound (first first heart sound, next first heart sound, next next first heart sound, ...) is performed (see FIG. 5).

(여기서, E_i2는 i번째 제2심음의 오차 값, P2는 제2심음의 평균주기, p_i2는 i번째 제2심음의 주기)(i=1,2,3,‥‥)]를 연산하고, 이를 통해, 각 제2심음(최초 제2심음, 차기 제2심음, 차 차기 제2심음,‥‥)의 오차 값을 산출하는 절차를 진행하게 된다(도 5 참조).In addition, the arrhythmia probability calculation module 29 proceeds a series of information calculation routines, and the equation [

(Here, E _i 2 is the error value of the i-th second heart sound, P2 is the average period of the second heart sound, and p _i 2 is the period of the i-th second heart sound) (i=1,2,3,...)] And, through this, a procedure of calculating an error value of each second heart sound (first second heart sound, next second heart sound, second next second heart sound, ...) is performed (see FIG. 5).

(여기서, C1은 제1심음을 기준으로 하는 부정맥 확률, E_i1은 i번째 제1심음의 오차 값, P1은 제1심음의 평균주기)(i=1,2,3,‥‥)]를 연산하고, 이를 통해, 제1심음을 기준으로 하는 부정맥 확률을 산출하는 절차를 진행하게 된다(도 5 참조)(이 경우, 부정맥 확률이 0에 가까울수록 정상적인 심장이라는 결론에 이를 수 있다).Through the above-described procedure, the error value of each first heart sound (first first heart sound, next first heart sound, second next first heart sound, ...), and each second heart sound (first second heart sound, next second heart sound, difference When the error value of the next second heart sound, ...) is calculated, the arrhythmia probability calculation module 29 proceeds a series of information calculation routines, and the equation [

(Here, C1 is the probability of arrhythmia based on the first heart sound, E _i 1 is the error value of the i-th first heart sound, P1 is the average period of the first heart sound) (i=1,2,3, ...)] And, through this, a procedure of calculating an arrhythmia probability based on the first heart sound is performed (see FIG. 5) (in this case, the closer the arrhythmia probability is to 0, the more normal heart can be reached).

(여기서, C2는 제2심음을 기준으로 하는 부정맥 확률, E_i2는 i번째 제2심음의 오차 값, P2는 제2심음의 평균주기)(i=1,2,3,‥‥)]를 연산하고, 이를 통해, 제2심음을 기준으로 하는 부정맥 확률을 산출하는 절차를 진행하게 된다(도 5 참조)(이 경우에도, 부정맥 확률이 0에 가까울수록 정상심장이라는 결론에 이를 수 있다).In addition, the arrhythmia probability calculation module 29 proceeds a series of information calculation routines, and the equation [

(Here, C2 is the probability of arrhythmia based on the second heart sound, E _i 2 is the error value of the i-th second heart sound, P2 is the average period of the second heart sound) (i = 1, 2, 3, ...)] And, through this, a procedure for calculating the arrhythmia probability based on the second heart sound is performed (see Fig. 5) (even in this case, the closer the arrhythmia probability is to 0, the conclusion that the heart is normal). .

In this way, when the arrhythmia probability based on the first heart sound and the arrhythmia probability based on the second heart sound are calculated, the arrhythmia symptom diagnosis result output module 30 proceeds a series of information reading routines, and the first A procedure for reading the arrhythmia probability based on the heart sound and the arrhythmia probability based on the second heart sound is performed.

When the arrhythmia probability based on the first heart sound and the arrhythmia probability based on the second heart sound are read through the above procedure, the arrhythmia symptom diagnosis result output module 30 proceeds a series of information generation routines, As shown in FIG. 6, the arrhythmia probability based on the first heart sound, the arrhythmia probability based on the second heart sound, etc. are included/expressed in tables, letters, pictures, graphs, etc. You will proceed with the procedure.

In this way, when the arrhythmia symptom diagnosis result information is generated, the arrhythmia symptom diagnosis result information including/expressed in tables, texts, pictures, graphs, etc., including the arrhythmia probability based on the first heart sound and the arrhythmia probability based on the second heart sound, etc. The result output module 30 performs a procedure of outputting the arrhythmia symptom diagnosis result information through the user information device side information output module by communicating with the operating system of the user information device through the interface module. It is possible to quickly and accurately diagnose/identify abnormal conditions of the heart (eg, arrhythmia) without a separate complicated procedure (or, without expensive expenses), with an extremely simple procedure that monitors the user's information equipment that they normally use. do.

As described above, in the present invention, under the system of a user information device (e.g., a mobile phone, a tablet PC, a notebook computer, a desktop computer, etc.) that a user uses on a daily basis, <while being electrically connected to the user information device, the heart sound of the user User's heart sound receiving unit that can be converted into an appropriate signal and received>, <It is installed in the user information device, and the user's heart sound received by the user's heart sound receiving unit is analyzed to diagnose signs of arrhythmia of the user. Since the arrhythmia symptom diagnosis unit> etc. are additionally arranged/provided, the diagnosis of the user's heart abnormality (arrhythmia, etc.) signs can be easily realized through the user information device that the user uses on a daily basis. In the end, on the user's side, while stably satisfying the desire of <I wish I could check my heart condition faster and more conveniently in my daily life>, it is possible to efficiently enjoy various advantages corresponding thereto.

The present invention is not limited to a specific field, and exhibits useful effects overall in various fields requiring health management.

And, in the above, although specific embodiments of the present invention have been described and illustrated, it is obvious that the present invention may be variously modified and implemented by those skilled in the art.

Such modified embodiments should not be individually understood from the technical spirit or point of view of the present invention, and such modified embodiments should fall within the scope of the appended claims of the present invention.

1: User information device
2: operating system
3: function auxiliary module
10: Arrhythmia symptom diagnosis system
20: arrhythmia symptom diagnosis unit
21: interface module
22: heart sound low data acquisition module
23: Heart sound low data processing module
24: heart sound low data recording module
25: initial peak data list generation module
26: Valid peak data list generation module
27: first heart sound / second heart sound selection module
28: effective second heart sound selection module
29: arrhythmia probability calculation module
30: arrhythmia symptom diagnosis result output module
40: user heart sound receiving unit
41: negative/pre converter

Claims (4)

A user heart sound receiving unit that is electrically connected to the user information device and converts and receives a user's heart sound into an electrical signal;
An arrhythmia symptom diagnosis unit which is installed in the user information device and analyzes the user's heart sound received by the user heart sound receiving unit, and diagnoses the user's arrhythmia symptom,
The arrhythmia symptom diagnosis unit
A heart sound low data recording module for recording the user's heart sound low data received by the user heart sound receiving unit;
An initial peak data list generation module configured to generate an initial peak data list consisting of amplitude, volume, and measurement time by performing a fast Fourier transform of the heart sound raw data;
After reading the initial peak data list, derive the maximum volume of each peak data, remove peak data whose maximum volume is less than the reference value, and create an effective peak data list consisting of measurement time, amplitude, volume, and period. A valid peak data list generation module;
After reading the valid peak data list,'Comparing each peak data from the start of the valid peak data list to the reference time for deriving the first heart sound, the peak data having the largest amplitude among the corresponding peak data is first selected. The first second heart sound selection procedure for selecting the heart sound','The first second heart sound to select the peak data existing between the first first heart sound and the second heart sound derivation reference time among the peak data as the first second heart sound. Heart sound selection procedure','In each peak data existing after the reference time for deriving the second heart sound, the first peak having a similar amplitude within the reference error range and the amplitude of the previous first heart sound including the first heart sound The next first heart sound selection procedure for selecting data as the next first heart sound, and the second peak data existing between the next first heart sound and the second heart sound derivation reference time from among the peak data. A first heart sound/second heart sound sorting module for performing a next second heart sound sorting procedure for sorting by heart sound;
After calculating the average period of the first heart sound and the average period of the second heart sound by calculating the period of each first heart sound and each second heart sound selected by the first heart sound/second heart sound selection module, the following math An arrhythmia probability calculation module for calculating an arrhythmia probability based on a first heart sound and an arrhythmia probability based on a second heart sound by calculating an equation;

(Here, E _i 1 is the error value of the i-th first heart sound, P1 is the average period of the first heart sound, p _i 1 is the period of the i-th first heart sound) (i=1,2,3,...)

(Here, E _i 2 is the error value of the i-th second heart sound, P2 is the average period of the second heart sound, p _i 2 is the period of the i-th second heart sound) (i=1,2,3,...)

(Here, C1 is the probability of arrhythmia based on the first heart sound, E _i 1 is the error value of the i-th first heart sound, and P1 is the average period of the first heart sound) (i=1,2,3, ...)

(Here, C2 is the probability of arrhythmia based on the second heart sound, E _i 2 is the error value of the i-th second heart sound, P2 is the average period of the second heart sound) (i = 1, 2, 3, ...)
An arrhythmic symptom for generating arrhythmia symptom diagnosis result information including the arrhythmia probability based on the first heart sound and the arrhythmia probability based on the second heart sound, and outputting the generated arrhythmia symptom diagnosis result information through the user information device Arrhythmia symptom diagnosis system comprising a diagnosis result output module. The arrhythmic symptom of claim 1, wherein the arrhythmic symptom diagnosis unit further comprises a heart sound low data processing module for removing an unnecessary frequency band of the heart sound low data before recording the heart sound low data. Diagnostic system. The diagnosis of arrhythmia symptom according to claim 2, wherein the heart sound raw data processing module further performs a procedure of adjusting a sample rate of the heart sound raw data to a sample plate of a band that is easy to analyze. system. The method of claim 1, wherein the arrhythmia symptom diagnosis unit comprises the first second heart sound and the next second heart sound selected by the first heart sound/second heart sound selection module in a phase in which the first second heart sound and the next second heart sound are selected. The amplitude or volume of the 2 heart sound is compared with the preset minimum amplitude for the second heart sound selection criterion or the minimum volume for the second heart sound selection criterion, and an amplitude lower than the minimum amplitude for the second heart sound selection criterion or the minimum volume for the second heart sound selection criterion, or Arrhythmia symptom diagnosis system, further comprising an effective second heart sound selection module for removing a second heart sound having a volume.

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