Channel and feature selection for a surface electromyographic pattern recognition task
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.
feature selection pattern recognition variable selection emg electromyography