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Heart sound splitting identification method based on multiple paths of heart sound

An identification method and heart sound splitting technology, which are applied in the fields of medical science, sensors, diagnostic recording/measurement, etc., and can solve problems such as the inability to perform multi-channel heart sound data analysis and the inability to obtain heart sounds at the same time.

Active Publication Date: 2018-08-21
河南善仁医疗科技有限公司
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  • Application Information

AI Technical Summary

Problems solved by technology

This manual auscultation method cannot obtain the heart sounds of each heart auscultation area of ​​the patient at the same time, and cannot perform multi-channel heart sound data analysis

Method used

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Embodiment Construction

[0104] The principle of the present invention is: the electrical signal sent by the sinoatrial node is transmitted to the right atrium and the left atrium, and the excitement of the atrium is shown as the P wave of the electrocardiogram. Right ventricle, ventricular excitation is manifested as R wave on ECG, and ventricular repolarization is manifested as T wave on ECG. Ventricular repolarization awaits the next activation of the sinoatrial node. In the same cardiac cycle, the ECG should have P waves, R waves and T waves.

[0105] The generation of S1 is related to the closure of mitral valve (T1) and tricuspid valve (M1), and the generation of S2 is caused by the closure of aortic valve (A2) and pulmonary valve (P2). During one cardiac cycle, the phonocardiogram should have S1 and S2. When the cardiac cycle of the electrocardiogram does not correspond to the cardiac cycle of the phonocardiogram, it is likely that the state of the heart is abnormal.

[0106] According to th...

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PUM

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Abstract

A heart sound splitting identification method based on multiple paths of heart sound comprises the following steps that an electrocardiogram and multi paths of phonocardiograms are acquired and recorded synchronously, and electrocardio characteristics of each cardiac cycle are respectively identified; heart sound characteristics of each path of phonocardiograms are correspondingly found accordingto each electrocardio characteristic, waves R are obtained for each cardiac cycle in the electrocardiogram, S1 corresponding to the current waves R on the M-zone phonocardiograms are obtained, momentscorresponding to M1 are obtained, S1 marked by TS1 on T-zone phonocardiograms are obtained, moments corresponding to T1 are obtained, the interval time TM-T of the M1 and the T1 is obtained for eachcardiac cycle on each phonocardiogram, if the TM-T is 0.02S, and the S1 is normal natural splitting; when the TM-T is greater than 0.02S on the certain-zone phonocardiograms, the S1 produce wide splitting and are abnormal. The heart sound splitting identification method can automatically identify natural splitting or irregular splitting and is suitable for monitoring at home.

Description

technical field [0001] The invention relates to an analysis method of an electrocardiogram and a phonocardiogram, in particular to an analysis method of an electrocardiogram and heart sound suitable for home-use electrocardiogram and heart sound monitoring. Background technique [0002] In the human heart, the sinoatrial node automatically and rhythmically generates current, and the current is transmitted to various parts of the heart in the order of conduction tissue, thereby causing the contraction and relaxation of cardiomyocytes. The excitement from the sinoatrial node is transmitted to the atria and ventricles in a certain way and process, causing the excitement of the whole heart. Therefore, the direction, route, sequence and time of the electrical changes occurring during the excitation of each part of the heart are regular. This bioelectrical change is reflected to the body surface through the conduction resistance value and body fluid around the heart, so that all ...

Claims

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Application Information

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IPC IPC(8): A61B7/04A61B5/0402A61B5/0452A61B5/0456A61B5/352
CPCA61B7/04A61B5/316A61B5/318A61B5/352A61B5/349
Inventor 边俊杰邹文初邹旭辉
Owner 河南善仁医疗科技有限公司
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