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Method and system for detecting start-end points of P-waves and T-waves in multi-lead ECG signals

A detection method and multi-lead technology, applied in the field of biomedical signal processing, can solve the problem of insufficient index parameters, achieve the effect of overcoming the limitations of output parameters, enhancing robustness, and reducing related calculation and storage resource requirements

Active Publication Date: 2018-07-20
WUHAN UNIV
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Problems solved by technology

[0005] The present invention mainly solves the problem that the index parameters obtained by the electrocardiogram are not sufficient at present, and provides a method and system for detecting the start and end points of P waves and T waves in multi-lead electrocardiogram data, and realizes the detection of P waves and T waves. Extraction of important relevant indicators

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  • Method and system for detecting start-end points of P-waves and T-waves in multi-lead ECG signals

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[0034] In order to facilitate those of ordinary skill in the art to understand and implement the present invention, the present invention will be described in further detail below in conjunction with the accompanying drawings and embodiments. It should be understood that the implementation examples described here are only used to illustrate and explain the present invention, and are not intended to limit this invention.

[0035] Aiming at most multi-lead electrocardiographs, the present invention proposes a method and system for detecting the start and end points of P waves and T waves in multi-lead electrocardiograms. Input the electrocardiogram of multiple leads to be detected, and the starting point and ending point information of the input QRS wave. According to the waveform shape and quality of each lead of the current electrocardiogram, adaptively select 3 leads that are most suitable for P wave and T wave positioning and start and end point detection, and superimpose th...

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Abstract

The invention discloses a method and system for detecting the start-end points of P-waves and T-waves in multi-lead ECG signals. The method includes the steps that firstly, according to the waveform and quality of each lead signal, three leads most suitable for P-wave and T-wave location and start-end detection are adaptively selected to be superimposed into a virtual lead; then, through the end point of the former one in two adjacent QRS waves and the start point of the latter one, the virtual lead is divided into a series of regions of search, it is determined that the first half of each region of search is a T-wave search range and the second half of each region of search is a P-wave search range, and the maximum peak values in the ranges are selected as the crests of corresponding characteristic waves; finally, the start-end points of P-waves and T-waves are detected respectively through an accumulative descent method based on dynamic thresholds. According to the method and system,by adopting the multi-lead adaptive selection technology, the robustness of the system is enhanced; by adopting the superposition-to-virtual-lead technology, the accuracy of detecting the start-end points of P-waves and T-waves is improved, and the number of algorithm detection times is reduced.

Description

technical field [0001] The invention relates to the technical field of biomedical signal processing, in particular to a method and system for detecting the start and end points of P waves and T waves in a multi-lead electrocardiogram. Background technique [0002] The development of biomedical signal processing technology has profoundly changed the modern medical diagnosis technology. The existing ECG signal acquisition and detection technology has been partially applied in the fields of heart disease diagnosis and health monitoring. There are also a large number of ECG acquisition and analysis in the market. equipment; however, existing ECG acquisition and analysis equipment still has certain limitations. [0003] Electrocardiogram acquisition and analysis equipment refers to medical electronic equipment that can automatically record the bioelectrical signals (also known as ECG signals) generated by myocardial excitation during heart activity, and partially mark and analyze...

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Application Information

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IPC IPC(8): A61B5/0402A61B5/0472A61B5/366
CPCA61B5/7203A61B5/7225A61B5/318A61B5/366
Inventor 刘娟程宇张海斌沈尧
Owner WUHAN UNIV
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