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

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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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 interfer

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