title: Evaluation of shoulder complex motion-based input strategies for endpoint prosthetic-limb control using dual-task paradigm.
abstract: This article describes the design and evaluation of two comprehensive strategies for endpoint-based control of multiarticulated powered upper-limb prostheses. One method uses residual shoulder motion position; the other solely uses myoelectric signal pattern classification. Both approaches are calibrated for individual users through a short training protocol. The control systems were assessed both quantitatively and qualitatively with use of a functional usability protocol based on a dual-task paradigm. The results revealed that the residual motion-based strategy outperformed the myoelectric signal-based scheme, while neither strategy appeared to significantly increase the mental burden demanded of the users.
authors.affiliation: Institute of Biomedical Engineering, Department of Electrical and Computer Engineering, University of New Brunswick, Fredericton, NB E3B 5A3, Canada. ylosier@unb.ca
authors.forename: Yves
authors.initials: Y
authors.lastname: Losier
authors.forename: Kevin
authors.initials: K
authors.lastname: Englehart
authors.forename: Bernard
authors.initials: B
authors.lastname: Hudgins
mesh_terms: D000328:Adult; D000671:Amputation, Surgical / Q000534:rehabilitation*; D001132:Arm; D001186:Artificial Limbs; D001696:Biomechanical Phenomena; D004566:Electrodes; D006801:Humans; D008297:Male; D058765:Neurofeedback; D011474:Prosthesis Design; D012782:Shoulder / Q000502:physiology*; D013647:Task Performance and Analysis