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Morphological Recognition Method of Electrocardiogram Waveform Based on Multiscale Wavelet Transform

An electrocardiogram waveform and wavelet transform technology, applied in medical science, sensors, diagnostic recording/measurement, etc., can solve problems such as difficulty in scope, achieve good detection results and reduce losses

Active Publication Date: 2020-05-05
SHANDONG COMP SCI CENTNAT SUPERCOMP CENT IN JINAN
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

Since the measured ECG cannot directly act on the heart, only current changes can be collected through the body surface, so the collected ECG signal is a weak non-stationary random signal, so when performing ECG detection, the peak value, each wave range becomes very difficult

Method used

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Experimental program
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Embodiment Construction

[0020] The present invention will be further described below.

[0021] A method for morphological recognition of an electrocardiogram waveform based on multiscale wavelet transform, comprising the steps of:

[0022] a) Importing discrete ECG signals into a computer.

[0023] b) The computer calculates the number of wavelet transform layers of the discrete electrocardiogram signal as C layer according to the sampling theorem.

[0024] c) According to the formula Calculate the scale coefficient swa of the discrete ECG signal, according to the formula Calculate the wavelet coefficient swb of the electrocardiogram discrete signal, where C is the current layer number of wavelet transform, i is the i-th scale coefficient of the C-th layer, i' is the i-th wavelet coefficient of the C-th layer, H C is the low-pass filter coefficient of layer C, G c is the high-pass filter coefficient of layer C, where the input data in swa[1,i] is the discrete ECG signal under the wavelet transf...

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Abstract

The invention discloses a form identification method for electrocardiographic wave forms based on multi-scale wavelet transformation. Through the form identification method for the electrocardiographic wave forms based on multi-scale wavelet transformation, compared with traditional electrocardiographic identification, the peak value position and range can be determined more precisely, and througha fusion algorithm, the loss caused by P / T wave detection under the condition that the selected detection scale is inappropriate or the P / T forms are varied can be effectively reduced; particularly,electrocardiograms with abnormal P / T waves are detected better; and the algorithm has the characteristics of being high in fault tolerance, high in precision and the like, particularly during P / T wavedetection, wrong detection and missing detection caused by inconsistent energy concentration frequency of the P / T waves can be effectively avoided, and the situations such as misdiagnosis caused by inappropriate detection are effectively reduced.

Description

technical field [0001] The invention relates to the technical field of shape recognition of electrocardiogram waveforms, in particular to an electrocardiogram waveform shape recognition method based on multi-scale wavelet transform. Background technique [0002] An electrocardiogram is a fluctuating curve measured by an electrocardiograph used to describe heart activity. The potential changes in the electrocardiogram represent changes in the current activity in the heart, and also represent different activities performed by the heart. Each heartbeat interval includes a series of declassification and repolarization of the heart, so the electrocardiogram can well reflect the whole process of the whole heart activity. The automatic detection and intelligent recognition of ECG is an important task in the field of ECG research. A complete ECG annotation includes markings such as the starting point, peak value, and axis direction of the ECG waveform. Since the measured ECG canno...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): A61B5/0402A61B5/0452A61B5/04
CPCA61B5/316A61B5/318A61B5/349
Inventor 王英龙王于超舒明雷周书旺
Owner SHANDONG COMP SCI CENTNAT SUPERCOMP CENT IN JINAN