EMG AMPLITUDE ESTIMATORS BASED ON PROBABILITY DISTRIBUTION FOR MUSCLE–COMPUTER INTERFACE

• Published in: Fluctuation and noise letters Vol. 12; no. 3; pp. 1350016 - 1-1350016-18
• Main Authors: PHINYOMARK, ANGKOON, QUAINE, FRANCK, LAURILLAU, YANN, THONGPANJA, SIRINEE, LIMSAKUL, CHUSAK, PHUKPATTARANONT, PORNCHAI
• Format: Journal Article
• Language: English
• Published: Singapore World Scientific Publishing Company 01.09.2013; World Scientific Publishing Co. Pte., Ltd; World Scientific Publishing
• Subjects: Amplitudes; Biomechanics; Computing time; Density; Electromyography; Engineering Sciences; Estimators; Fluctuation; Forearm; Gaussian distribution; Mechanics; Muscles; Physics; Probability density functions; Signal to noise ratio; Variations; Wavelet transforms; Wrist; signal-to-noise ratio (SNR); fluctuating signal; probability density function (PDF); Electromyography (EMG); feature extraction

To develop an advanced muscle–computer interface (MCI) based on surface electromyography (EMG) signal, the amplitude estimations of muscle activities, i.e., root mean square (RMS) and mean absolute value (MAV) are widely used as a convenient and accurate input for a recognition system. Their classif...