计算机应用研究2012，Vol.29Issue(3)：910-912,3.DOI:10.3969/j.issn.1001-3695.2012.03.030
基于文化算法的表面肌电信号特征选择
Feature selection for surface electromyography signal using cultural algorithm
摘要
Abstract
To improve classification accuracy of the surface electromyography ( sEMG)-based prosthesis, this paper proposed a new way to select feature based on cultural algorithm( CA) and used here. It tested its classification performance with linear discrimina analysis ( LDA) . The method used surface differential electrodes to acquire four EMG signals from human body' s upper limbs. Ten healthy subjects participated in the experiment of classification of eight hand motion' s sEMG signals. Test results show that the algorithm can get a good result of classification. Compared with the standard genetic algorithm ( GA) ,it has better search performance.关键词
表面肌电信号/文化算法/特征选择/遗传算法/模式识别Key words
surface electromyography signal/cultural algorithm/ feature selection/ genetic algorithm/pattern recognition分类
信息技术与安全科学引用本文复制引用
许璇,谢洪波,黄虎,杨瑞凯..基于文化算法的表面肌电信号特征选择[J].计算机应用研究,2012,29(3):910-912,3.基金项目
江苏省自然科学基金资助项目(BK2009198) （BK2009198）
