Channel and feature selection for a surface electromyographic pattern recognition task

作者：

Highlights：

• A novel variable selection method is proposed.

• 32 Electrode locations and 86 signal-features are evaluated for EMG control systems.

• We select 7 electrodes and 7 features that provide a high classification rate.

• Placing electrodes along the forearm is as important as around it.

摘要

•A novel variable selection method is proposed.•32 Electrode locations and 86 signal-features are evaluated for EMG control systems.•We select 7 electrodes and 7 features that provide a high classification rate.•Placing electrodes along the forearm is as important as around it.

论文关键词：Electromyography,EMG,Feature selection,Variable selection,Pattern recognition

论文评审过程：Available online 18 March 2014.

论文官网地址：https://doi.org/10.1016/j.eswa.2014.03.014