Electrocardiosignal detection method and system

A technology of ECG signal and detection method, which is applied in diagnostic recording/measurement, medical science, sensor, etc. It can solve problems affecting the accuracy of R wave recognition, low computing speed, superimposed interference of external noise components, etc., and achieve fast and accurate signal The effect of processing, improving circuit utilization, and speeding up calculation

Pending Publication Date: 2022-04-05
SHANDONG LINGNENG ELECTRONIC TECH CO LTD
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  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0004] However, because the ECG signal is relatively weak, it is easy to be interfered by the superposition of external noise components.
Any small interference may affect the subsequent waveform detection. If the ECG signal cannot be denoised accurately in the early stage, it will affect the accuracy of R wave recognition in the later stage.
[0005] In addition, with the continuous improvement of the demand for automatic analysis of ECG signals, the processing system must ensure the detection accuracy of the feature extraction of ECG signals while increasing the signal processing speed. However, the current ECG signal processing system is limited by the performance of the processor. There are problems such as large size, non-portability, and low computing speed.

Method used

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  • Electrocardiosignal detection method and system
  • Electrocardiosignal detection method and system
  • Electrocardiosignal detection method and system

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Effect test

Embodiment 1

[0046] Such as figure 1 As shown, the present embodiment provides a method for detecting ECG signals, based on portable ECG detection equipment, using wavelet transform method to process and analyze ECG signals, reducing time and economic costs and having high reliability; including:

[0047] Obtain ECG signals;

[0048] Determine the wavelet basis function and the number of decomposition layers, use the wavelet threshold algorithm to perform wavelet decomposition on the ECG signal, and obtain the wavelet coefficients of the ECG signal segment;

[0049] Filter the noise signal according to the comparison result of the wavelet coefficient and the set threshold;

[0050] Carry out wavelet reconstruction to the filtered ECG signal to obtain the denoised ECG signal;

[0051] The R wave is marked by the peak of the denoised ECG signal.

[0052] The generation mechanism and measurement principle of ECG signal are as follows: before the heart contracts and beats, it first generate...

Embodiment 2

[0093] This embodiment provides an ECG signal detection system, including:

[0094] An acquisition module configured to acquire ECG signals;

[0095] The decomposition module is configured to determine the wavelet basis function and the number of decomposition layers, use the wavelet threshold algorithm to perform wavelet decomposition on the ECG signal, and obtain the wavelet coefficients of the ECG signal segment;

[0096] A filtering module configured to filter out noise signals according to the comparison result of the wavelet coefficient and the set threshold;

[0097] The reconstruction module is configured to perform wavelet reconstruction on the filtered ECG signal to obtain the denoised ECG signal;

[0098] The marking module is configured to mark the R wave through the peak of the denoised ECG signal.

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Abstract

The invention discloses an electrocardiosignal detection method and system. The electrocardiosignal detection method comprises the steps that electrocardiosignals are obtained; determining a wavelet basis function and a decomposition layer number, performing wavelet decomposition on the electrocardiosignal by adopting a wavelet threshold algorithm, and obtaining a wavelet coefficient of an electrocardiosignal segment; filtering noise signals according to a comparison result of the wavelet coefficient and a set threshold value; performing wavelet reconstruction on the filtered electrocardiosignal to obtain a denoised electrocardiosignal; marking R waves for the denoised electrocardiosignals through wave crests. According to the electrocardiosignal processing method, noise signals except the electrocardiosignal are removed through a threshold filtering algorithm in the signal acquisition and transmission process and the wavelet transformation process, so that the high-quality electrocardiosignal is obtained, R-wave features are extracted, and rapid and accurate signal processing of the electrocardiosignal is achieved.

Description

technical field [0001] The invention relates to the technical field of electrocardiographic signal detection, in particular to a method and system for detecting electrocardiographic signals. Background technique [0002] The statements in this section merely provide background information related to the present invention and do not necessarily constitute prior art. [0003] The existing processing of ECG signals can realize the positioning of the R wave position and the calculation of the RR interval through the identification of the R wave. The parameters such as the R wave position, RR interval, and heart rate are important parameters for ECG signal detection. Accurate identification of the R peak is extremely important. [0004] However, since the electrocardiographic signal is relatively weak, it is easy to be superimposed and interfered by external noise components. Any small interference may affect the subsequent waveform detection. If the ECG signal cannot be denois...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): A61B5/318A61B5/352A61B5/363A61B5/366A61B5/00
Inventor 王永威
Owner SHANDONG LINGNENG ELECTRONIC TECH CO LTD
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