Identification of hand movements based on MMG and EMG signals

被引：0

作者：

Prociow, Pawel ^{[1
]}

Wolczowski, Andrzej ^{[1
]}

Amaral, Tito G.

Dias, Octavio P.

Filipe, Joaquim

机构：

[1] Wroclaw Univ Technol, Inst Comp Engn Control & Robot, PL-50370 Wroclaw, Poland

来源：

BIOSIGNALS 2008: PROCEEDINGS OF THE FIRST INTERNATIONAL CONFERENCE ON BIO-INSPIRED SYSTEMS AND SIGNAL PROCESSING, VOL II | 2008年

关键词：

electromyography; mechanomyography; LVQ neural network; EMG and MMG signal classification; prosthesis;

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 proposes a methodology that analysis and classifies the EMG and MMG signals using neural networks to control prosthetic members. Finger motions discrimination is the key problem in this study. Thus the emphasis is put on myoelectric signal processing approaches in this paper. The EMG and MMG signals classification system was established using the LVQ neural network. The experimental results show a promising performance in classification of motions based on both EMG and MMG patterns.

引用

页码：534 / 539

页数：6

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