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Atrial premature beat target detection method based on convolutional neural network

A convolutional neural network, target detection technology, applied in the field of ECG detection, can solve the problem of not being able to judge the type of arrhythmia and give location information at the same time

Pending Publication Date: 2021-04-02
SHANGHAI SID MEDICAL CO LTD
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0004] The technical problem to be solved by the present invention is: in order to solve the disease of arrhythmia, the algorithm of the prior art cannot judge the type of arrhythmia and give the problem of location information at the same time

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  • Atrial premature beat target detection method based on convolutional neural network
  • Atrial premature beat target detection method based on convolutional neural network
  • Atrial premature beat target detection method based on convolutional neural network

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Experimental program
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Embodiment 1

[0020] This embodiment provides a method for detecting atrial premature beats based on a convolutional neural network, such as figure 1 shown, including:

[0021] Step 1, collect a number of ECG signals that contain atrial premature beats and have marked R waves;

[0022] Step 2, through data preprocessing, label each ECG signal with a data label, and form a training set with the ECG signal data labeled with the data label, the data label includes the heartbeat type and heartbeat at different sampling points of the ECG signal Location;

[0023] Step 3, using the electrocardiographic signal data in the training set as input, and taking the heart beat type and position at different sampling points of the electrocardiographic signal as output to train the convolutional neural network model;

[0024] Step 4. Obtain real-time ECG data to be detected, and input the trained convolutional neural network model to predict the type and location of abnormal heart beats, so as to realize...

Embodiment 2

[0059] A second embodiment of the present invention provides a computer storage medium, on which a computer program is stored, and the computer program is used to implement the detection method described in embodiment 1 when executed by a processor.

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Abstract

The invention relates to an atrial premature beat target detection method based on a convolutional neural network. All collected electrocardiosignals are labelled with data labels through data preprocessing, wherein the data labels comprise heart beat types and heart beat positions at different sampling points of the electrocardiosignals; a training set is formed; a convolutional neural network model is trained; real-time to-be-detected electrocardiogram data are input into the trained convolutional neural network model; and the types and positions of abnormal heart beats are predicted, thereby realizing target detection of atrial premature beat.

Description

technical field [0001] The present application belongs to the technical field of electrocardiogram detection, and in particular relates to a method for detecting an atrial premature beat target based on a convolutional neural network. Background technique [0002] Cardiac arrhythmias are the various symptoms caused by abnormalities in the electrical conduction system of the heart. Among them, atrial premature beats are more common in clinical arrhythmia. It refers to the abnormal contraction of the ventricle or atrium caused by the heart beating ahead of time. Once it occurs frequently, it may lead to various complications. Object detection is of great significance. [0003] As an important tool for detecting arrhythmia diseases, ECG signals are electrical signals generated by the human heart when it is active. It is usually time-consuming and labor-intensive for doctors to diagnose arrhythmia through ECG signals and has a great correlation with the doctor's level. As art...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): A61B5/35A61B5/352A61B5/00
CPCA61B5/7225A61B5/7267A61B5/7246
Inventor 朱俊江黄浩吕金涛潘黎光
Owner SHANGHAI SID MEDICAL CO LTD