Classification of finger activation for use in a robotic prosthesis arm

被引：89

作者：

Peleg, D ^{[1
]}

Braiman, E ^{[1
]}

Yom-Tov, E ^{[1
]}

Inbar, GE ^{[1
]}

机构：

[1] Technion Israel Inst Technol, Fac Elect Engn, IL-32000 Haifa, Israel

来源：

IEEE TRANSACTIONS ON NEURAL SYSTEMS AND REHABILITATION ENGINEERING | 2002年 / 10卷 / 04期

关键词：

assistive devices; electromyography (EMG); genetic algorithms (GA);

D O I：

10.1109/TNSRE.2002.806831

中图分类号：

R318 [生物医学工程];

学科分类号：

0831 ;

摘要：

Hand amputees would highly benefit from a robotic prosthesis, which would allow the movement of a number of fingers. In this paper we propose using the electromyographic signals recorded by two pairs of electrodes placed over the arm for operating such prosthesis. Multiple features from these signals are extracted whence the most relevant features are selected by a genetic algorithm as inputs for a simple classifier. This method results in a probability of error of less than 2%.

引用

页码：290 / 293

页数：4

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