Open AccessStudy of a selective averaging method for magnetocardiography-based noise suppression
Author(s) -
Ming Liu,
Shulin Zhang,
Hua Li,
Qiu Yang,
Jia Zeng,
Guofeng Zhang,
Yongliang Wang,
Kong Xiang-Yan,
Xiaoming Xie
Publication year - 2013
Publication title -
wuli xuebao
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.199
H-Index - 47
ISSN - 1000-3290
DOI - 10.7498/aps.62.098501
Subject(s) - magnetocardiography , signal (programming language) , signal averaging , interference (communication) , noise (video) , computer science , distortion (music) , acoustics , signal to noise ratio (imaging) , pulse (music) , fidelity , physics , algorithm , channel (broadcasting) , telecommunications , signal transfer function , artificial intelligence , analog signal , quantum mechanics , programming language , amplifier , bandwidth (computing) , transmission (telecommunications) , detector , image (mathematics)
Noise suppression is a key technique in retrieving weak magnetic signal from human heart. In order to improve the signal-to-noise ratio (SNR) of magnetocardiography (MCG) signals, signal average method is widely used. However, due to the existence of local environmental interference, averaging the whole section data would unavoidable bring distortion to the average signal. In this paper, the authors proposed a kind of selective average method by using the template matching. The results showed that this method can effectively eliminate the data section with interference such as low frequency fluctuation, pulse burr etc. Thus averaging MCG signal with high SNR and fidelity will be obtained.