Adaptive spatio-temporal filtration of bioelectrical signals

被引：2

作者：

Ostlund, N. ^{[1
]}

Wiklund, U. ^{[1
]}

Yu, J. ^{[1
]}

Karlsson, J. S. ^{[1
]}

机构：

[1] Univ Umea Hosp, Dept Biomed Engn & Informat, S-90185 Umea, Sweden

来源：

2005 27TH ANNUAL INTERNATIONAL CONFERENCE OF THE IEEE ENGINEERING IN MEDICINE AND BIOLOGY SOCIETY, VOLS 1-7 | 2005年

关键词：

adaptive filter; ECG; EMG;

D O I：

10.1109/IEMBS.2005.1615854

中图分类号：

R318 [生物医学工程];

学科分类号：

0831 ;

摘要：

In this paper we show how independent component analysis (ICA) algorithms can be used to perform spatio-temporal filtration of electromyographic (EMG) and electrocardiographic (ECG) signals. The technique was used to decompose the EMG signals into motor unit action potential (MUAP) trains. From the 88 outputs of the adaptive spatio-temporal filtration, three groups of different MUAP train patterns were found. The technique was also used to obtain a fetus' ECG and showed better result compared to using ICA.

引用

页码：5983 / 5986

页数：4

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