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Method for detecting P wave and T wave in ECG signal based on Gaussian function fitting

A Gaussian function and detection method technology, which is applied in the field of biomedical signal processing, can solve the problems that the results are susceptible to noise interference and the accuracy of detection results is poor, and achieve the effect of improving robustness, improving efficiency, and avoiding the interference of noise information

Active Publication Date: 2019-07-12
BEIJING UNIV OF TECH
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Problems solved by technology

[0006] To sum up, the present invention aims at the problem that the results obtained by the current P wave and T wave detection algorithms are susceptible to noise interference or the accuracy of the detection results is poor, and proposes a Gaussian function fitting based P wave and T wave detection method in the ECG signal. Detection method

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  • Method for detecting P wave and T wave in ECG signal based on Gaussian function fitting
  • Method for detecting P wave and T wave in ECG signal based on Gaussian function fitting
  • Method for detecting P wave and T wave in ECG signal based on Gaussian function fitting

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[0023] In order to facilitate those skilled 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. The implementation examples described here are only used to illustrate and explain the present invention, and are not intended to limit the present invention.

[0024] please see figure 1 The present invention provides a method and system for detecting peak positions and start and end points of P waves and T waves in ECG signals based on Gaussian function fitting. The original ECG data was preprocessed, the baseline drift was removed by median filtering, and the ECG was segmented using the window method according to the marked QRS complex position information, and a series of single-cycle heartbeat signal data after the baseline drift was removed was obtained. In order to scientifically and effectively determine the position of P wave and T wave, t...

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Abstract

The invention discloses a method for detecting a P wave and T wave in an ECG signal based on Gaussian function fitting. Firstly, baseline drift removal is carried out on an original signal, and then according to QRS wave group labeling of the existing ECG signal, the signal is divided into a series of single heartbeat signals; secondly, for each heartbeat cycle, search intervals where the P wave and the T wave roughly and possibly appear are divided respectively through approximate ranges of the P wave and T wave, the wave crest direction and suspected wave crest appearance point of each search interval are determined through numerical integration; according to the information, a Gaussian function is used and appropriate initial parameters are configured for fitting; finally, the wave crests of Gaussian function fitting results and starting and stopping points of the wave crests are calculated and taken as the wave crests and starting and stopping points of the P wave and T wave of a current heartbeat cycle. The method for detecting the P wave and T wave in the ECG signal based on Gaussian function fitting has the advantages that the interference of noise signals is effectively avoided, and the robustness of an algorithm is enhanced, so that the accuracy of the detection of the P wave and T wave is improved.

Description

technical field [0001] The invention relates to the technical field of biomedical signal processing, in particular to a method for detecting P waves and T waves in electrocardiogram (ECG) signals based on Gaussian function fitting. Background technique [0002] The development of biomedical signal processing technology has profoundly changed the modern medical diagnosis technology. Electrocardiography is a diagnostic and therapeutic technique that records the electrophysiological activity of the heart in units of time through the chest cavity, and captures and records it through electrodes on the skin. Usually more than 2 electrodes are placed on the limbs, and they form a pair for measurement. The output signal of each electrode pair is called a set of leads, and the types of ECG can be distinguished by leads. Take the MIT-BIH Arrhythmia Database, the most frequently used data set in the field of ECG signal classification, as an example, in which each ECG record provides s...

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Application Information

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IPC IPC(8): A61B5/0402A61B5/0452A61B5/00
CPCA61B5/7203A61B5/7235A61B5/316A61B5/318A61B5/349
Inventor 王丹苟熙杨萍杜金莲付利华
Owner BEIJING UNIV OF TECH
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