Towards identification of finger flexions using single channel surface electromyography – able bodied and amputee subjects

• Published in: Journal of neuroengineering and rehabilitation Vol. 10; no. 1; p. 50
• Main Authors: Kumar, Dinesh Kant, Poosapadi Arjunan, Sridhar, Singh, Vijay Pal
• Format: Journal Article
• Language: English
• Published: England BioMed Central Ltd 07.06.2013; BioMed Central
• Subjects: Adult; Algorithms; Amputees; Electromyography; Electromyography - methods; Female; Fingers; Fingers - innervation; Fingers - physiology; Forearm; Hand; Human mechanics; Humans; Male; Methods; Muscle, Skeletal - physiology; Physiological aspects; Prostheses and Implants; Prosthesis Design; Sensitivity and Specificity; Support Vector Machine; Young Adult; Australia

This research has established a method for using single channel surface electromyogram (sEMG) recorded from the forearm to identify individual finger flexion. The technique uses the volume conduction properties of the tissues and uses the magnitude and density of the singularities in the signal as a...