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Method of Obtaining Dominant Heart Rate of Heartbeat Based on Forward and Back Propagation Algorithm

A heart rate, positive and negative technology, applied in the field of medical artificial intelligence, can solve the problems of wrong identification results, dominant sinus rhythm heart rate identification, electrocardiogram confirmation, etc.

Active Publication Date: 2022-03-11
无锡市中健科仪有限公司
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  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0003] In order to solve the problem in the prior art that the recognition of the dominant sinus rhythm heart rate cannot be confirmed based on the long-term electrocardiogram, and the recognition results are often wrong, the present invention provides a method for obtaining the dominant heart rate of the heart beat based on the forward and reverse propagation algorithm, which can realize the recognition based on The long-term electrocardiogram identifies the dominant sinus rhythm heart rate, and the accuracy of the identification result is high

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  • Method of Obtaining Dominant Heart Rate of Heartbeat Based on Forward and Back Propagation Algorithm
  • Method of Obtaining Dominant Heart Rate of Heartbeat Based on Forward and Back Propagation Algorithm
  • Method of Obtaining Dominant Heart Rate of Heartbeat Based on Forward and Back Propagation Algorithm

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Embodiment Construction

[0058] The present invention is an intelligent analysis method for supraventricular premature beats based on the attention conversion mechanism, which includes the following steps.

[0059] S1: Obtain the ECG data to be identified; in the specific implementation, about 100,000 data of the dynamic electrocardiogram every 24 hours are recorded as a set of ECG data to be identified. When performing identification, each time a set of data to be identified is input for identify.

[0060] S2: Based on the ECG data to be identified, draw the RR interval scatter diagram of the full data time; in the specific implementation, use the continuous RR interval in the long-distance electrocardiogram as the ordinate and the time as the abscissa to make scatter points in the Cartesian coordinate system Bar chart; refer to the accompanying drawings in the manual image 3 , is an embodiment of the time RR interval scattergram of the electrocardiogram.

[0061] S3: In the RR interval scatter di...

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Abstract

The present invention provides a method for obtaining the dominant heart rate of the heart beat based on the forward and reverse propagation algorithm, which can realize the identification of the dominant sinus rhythm heart rate based on a long-term electrocardiogram, and the recognition result has a high accuracy rate. The technical solution of this patent is that by setting reference heart beats, the information of the normal sinus segment in the front in the propagation direction is transmitted to the back; through forward propagation and reverse propagation two scanning operations, all reference heart beats are scanned, and then through the scanning operation of forward propagation and reverse propagation The dominant RR interval curve was obtained by fitting the reference beat, and then the dominant sinus rhythm rate of the beat between two RR interval stationary heart rate segments was inferred.

Description

technical field [0001] The invention relates to the technical field of medical artificial intelligence, in particular to a method for obtaining the dominant heart rate of heart beats based on forward and backward propagation algorithms. Background technique [0002] An electrocardiogram (ECG) is a graph formed by recording the changes in the electrical activity of the heart every cardiac cycle from the body surface. A variety of heart diseases in humans can be characterized by an electrocardiogram. Supraventricular premature beat refers to the premature contraction of the ectopic rhythm point originating above the ventricle, which is a common arrhythmia phenomenon in the electrocardiogram. In general, QRS complex morphological distortion and RR interval changes are the main features to identify ECG arrhythmia. For supraventricular premature beats, because its QRS wave shape has no obvious distortion compared with normal sinus rhythm, it is very important to check the consi...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): A61B5/318A61B5/346A61B5/352A61B5/366A61B5/0245
CPCA61B5/0245
Inventor 方健陈洪李洁王胜
Owner 无锡市中健科仪有限公司
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