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An ecg signal processing method for arrhythmia classification

An arrhythmia and signal processing technology, applied in the field of biomedicine, can solve the problem of low classification accuracy of arrhythmia, and achieve the effects of avoiding inter-individual differences and intra-individual differences, high classification accuracy, and convenient use.

Active Publication Date: 2021-11-23
NORTHWESTERN POLYTECHNICAL UNIV
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Problems solved by technology

[0004] The invention provides an ECG signal processing method for arrhythmia classification to solve the problem of low accuracy of arrhythmia classification

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  • An ecg signal processing method for arrhythmia classification
  • An ecg signal processing method for arrhythmia classification
  • An ecg signal processing method for arrhythmia classification

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Embodiment Construction

[0023] In order to enable those skilled in the art to better understand the solution of the present invention, the technical solution in the present invention will be clearly and completely described below in conjunction with the embodiments of the present invention and the accompanying drawings.

[0024] Such as figure 1 Shown, a kind of ECG signal processing method facing arrhythmia classification, comprises the following steps:

[0025] S1: Perform preprocessing operations such as R peak detection, heartbeat extraction, and data balance on the ECG to obtain ECG signal segments with a uniform format.

[0026] The R peak is the most obvious sign of a heartbeat in the ECG signal, so the position of the R peak can be used to represent the moment when each heartbeat occurs. In the embodiment of the present invention, the popular Pan-Tompkins algorithm is used for R-peak detection. Then, taking the moment of R peak as the center, select an appropriate number of sampling points ...

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Abstract

The present invention provides an ECG signal processing method, which can analyze the ECG signal from multiple time-frequency resolutions, and use SB-LSTM and TD-CNN to mine the overall fluctuation mode and local fluctuation mode of the signal from the ECG sub-layer signal respectively , and finally use the Sum Rule to fuse the intermediate classification results of each ECG sub-layer to obtain more accurate and robust classification results. This method avoids the inter-individual and intra-individual differences caused by manual classification, and can obtain stable classification results. In addition, this method does not require any expert knowledge, manual design of various features, and feature selection processing. It is a typical end-to-end method that does not need to build a classifier separately, and has the characteristics of convenient use and high classification accuracy.

Description

technical field [0001] The invention relates to the field of biomedicine, in particular to an ECG signal processing method for arrhythmia classification. Background technique [0002] "Arrhythmia" means the heart beats faster or slower than normal. Many arrhythmias do not have any symptoms. There are five types of arrhythmia: non-ectopic (N: Non-ectopic), ventricular ectopic (V: Ventricular ectopic), supraventricular ectopic (S: Supraventricular ectopic), mixed (F: Fusion), unknown (Q: Unknown). Cardiac activity patterns vary greatly between individuals, and even in the same individual at different time periods, making accurate classification of arrhythmias extremely difficult. [0003] The existing arrhythmia classification methods are mainly divided into two categories: 1) manual classification methods based on professional doctors; 2) computer-aided classification methods based on feature extraction, feature selection and classifier construction. The former requires d...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): A61B5/349A61B5/024A61B5/0245
CPCA61B5/02405A61B5/0245A61B5/35
Inventor 周兴社刘帆王柱於志文倪红波
Owner NORTHWESTERN POLYTECHNICAL UNIV
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