High-precision EMG signal decomposition using communication techniques

被引:39
作者
Gut, R [1 ]
Moschytz, GS
机构
[1] Univ Appl Sci, Muttenz, Switzerland
[2] Swiss Fed Inst Technol, Inst Signal & Informat Proc, Zurich, Switzerland
关键词
digital communication; digital signal processing; electromyography;
D O I
10.1109/78.863051
中图分类号
TM [电工技术]; TN [电子技术、通信技术];
学科分类号
0808 ; 0809 ;
摘要
This paper presents a new approach to the decomposition of electromyographic (EMG) signals, EMG signals consist of a superposition of delayed finite-duration waveforms that carry the information about the firing of different muscle fiber groups. The new approach is based on a communication technical interpretation of the EMG signal, The source is modeled as a signaling system with interssymbol-interference, which encodes a well-defined sparse information sequence. This point of view allows a maximum-likelihood (ML) as well as a maximum aposteriori (MAP) estimation of the underlying firing pattern to be made. The high accuracy attainable with the proposed method is illustrated both with measured and artificially generated EMG signals.
引用
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页码:2487 / 2494
页数:8
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