多分辨率小波分析在QRS波检测中的适用性。

Applicability of multiresolution wavelet analysis for QRS-waves detection.

作者信息

Fedotov Aleksandr A, Akulova Anna S, Akulov Sergey A

出版信息

Annu Int Conf IEEE Eng Med Biol Soc. 2016 Aug;2016:3793-3796. doi: 10.1109/EMBC.2016.7591554.

DOI:10.1109/EMBC.2016.7591554

Abstract

The aim of this study is to create highly effective QRS-detector of electrocardiographic (ECG) signal based on the multiresolution wavelet analysis, set of nonlinear transforms and adaptive thresholding. The efficiency of various QRS-waves detectors for processing model ECG signals contaminated by artificially simulated intensive noise and artifacts was researched. The performance of the proposed method as well as some other well-known algorithms for QRS-waves detection was further verified for clinical ECG recordings from the Physionet MIT-BIH Arrhythmia database.

摘要

本研究的目的是基于多分辨率小波分析、非线性变换集和自适应阈值处理，创建一种高效的心电图（ECG）信号QRS波检测器。研究了各种QRS波检测器对受人工模拟强噪声和伪迹污染的模型ECG信号进行处理的效率。针对来自Physionet MIT-BIH心律失常数据库的临床ECG记录，进一步验证了所提方法以及其他一些用于QRS波检测的著名算法的性能。