CleanEMG - Power line interference estimation in sEMG using an adaptive least squares algorithm

被引：0

作者：

Fraser, G. D. ^{[1
]}

Chan, A. D. C. ^{[1
]}

Green, J. R. ^{[1
]}

Abser, N. ^{[2
]}

MacIsaac, D. ^{[2
]}

机构：

[1] Carleton Univ, Dept Syst & Comp Engn, 1125 Colonel Dr, Ottawa, ON K1S 5B6, Canada

[2] Univ New Brunswick, Dept Elect & Comp Engn, Fredericton, NB, Canada

来源：

2011 ANNUAL INTERNATIONAL CONFERENCE OF THE IEEE ENGINEERING IN MEDICINE AND BIOLOGY SOCIETY (EMBC) | 2011年

基金：

加拿大自然科学与工程研究理事会;

关键词：

ELECTROMYOGRAM;

D O I：

暂无

中图分类号：

R318 [生物医学工程];

学科分类号：

0831 ;

摘要：

This paper presents an adaptive least squares algorithm for estimating the power line interference in surface electromyography (sEMG) signals. The algorithm estimates the power line interference, without the need for a reference input. Power line interference can be removed by subtracting the estimate from the original sEMG signal. The algorithm is evaluated with simulated sEMG based on its ability to accurately estimate power line interference at different frequencies and at various signal-to-noise ratios. Power line estimates produced by the algorithm are accurate for signal-to-noise ratios below 15 dB (SNR estimation error at 15 dB is 14.7995 dB +/- 1.6547 dB).

引用

页码：7941 / 7944

页数：4

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