Distance and mutual information methods for EMG feature and channel subset selection for classification of hand movements
详细信息 查看全文
- 作者：Haitham M. Al-Angaria ; haitham.alangari@kustar.ac.ae" class="auth_mail" title="E-mail the corresponding author ; haitham.angari@gmail.com" class="auth_mail" title="E-mail the corresponding author ; Gunter Kanitzb ; Sergio Tarantinob ; Christian Ciprianib
- 关键词：Myoelectric control ; Pattern recognition ; Features selection ; Mahalanobis distance ; Mutual information
- 刊名：Biomedical Signal Processing and Control
- 出版年：2016
- 出版时间：May 2016
- 年：2016
- 卷：27
- 期：Complete
- 页码：24-31
- 全文大小：960 K
文摘
- •
Two methods for selection of best features and channels.
- •
Selected features vary with the method.
- •
Performance was better than stat-of-art TD features.