Enhanced multi-site EMG-force estimation using contact pressure.
A modification method based on integrated contact pressure and surface electromyogram (SEMG) recordings over the biceps brachii muscle is presented. Multi-site sEMGs are modified by pressure signals recorded at the same locations for isometric contractions. The resulting pressure times SEMG signals are significantly more correlated to the force induced at the wrist (FW), yielding SEMG-force models with superior performance in force estimation. A sensor patch, combining six SEMG and six contact pressure sensors was designed and built. SEMG, and contact pressure data over the biceps brachii and induced wrist force data were collected from 5 subjects. Polynomial fitting was used to find a mapping between biceps SEMG and wrist force. Comparison between evaluation values from models trained with modified and non-modified SEMG signals revealed a statistically significant superiority of models trained with the modified SEMG.
Department of Electrical and Computer Engineering, School of Computing, Queen’s University, Kingston, ON K7L 3N6, Canada. javad.hashemi@queensu.ca
Javad
J
Hashemi
Evelyn
E
Morin
Parvin
P
Mousavi
Keyvan
K
Hashtrudi-Zaad
D000328:Adult; D004576:Electromyography; D005260:Female; D006801:Humans; D007537:Isometric Contraction / Q000502:physiology*; D008297:Male; D018482:Muscle, Skeletal / Q000502:physiology; D014953:Wrist / Q000502:physiology; D055815:Young Adult