Important features of EMG signal under simple load conditions

Abstract

Recording electrical activities obtained from muscle due to neuromuscular events, are well known as an electromyogram (EMG). These activities need to be distinguished through defining important features, extracted mathematically from muscle behaviour trend, and useful in detecting, specifying and following up of neuromuscular diseases and control of signals in artificial devices. Three muscles are considered here (pectorals, biceps and triceps) in two states: lifting 2.3 kg and 4.5kg weight during butterfly exercise. The study here focuses on defining the important features recognized from the muscles during the two modes of exercises, getting more details and inside view to such cases as a fining tools of analyzing the real EMG modes.

Keywords

• emg signal,
• signal processing,
• muscle force,
• prosthetic device,
• feature extraction