title: Optimal tracking of a sEMG based force model for a prosthetic hand.
abstract: This paper presents a surface electromyographic (sEMG)-based, optimal control strategy for a prosthetic hand. System Identification (SI) is used to obtain the dynamic relation between the sEMG and the corresponding skeletal muscle force. The input sEMG signal is preprocessed using a Half-Gaussian filter and fed to a fusion-based Multiple Input Single Output (MISO) skeletal muscle force model. This MISO system model provides the estimated finger forces to be produced as input to the prosthetic hand. Optimal tracking method has been applied to track the estimated force profile of the Fusion based sEMG-force model. The simulation results show good agreement between reference force profile and the actual force.
authors.affiliation: Measurement and Control Engineering Research Center, College of Engineering, Idaho State University, Pocatello, Idaho 83209, USA. potlchan@isu.edu
authors.forename: Chandrasekhar
authors.initials: C
authors.lastname: Potluri
authors.forename: Madhavi
authors.initials: M
authors.lastname: Anugolu
authors.forename: Yimesker
authors.initials: Y
authors.lastname: Yihun
authors.forename: Alex
authors.initials: A
authors.lastname: Jensen
authors.forename: Steve
authors.initials: S
authors.lastname: Chiu
authors.forename: Marco P
authors.initials: MP
authors.lastname: Schoen
authors.forename: D Subbaram
authors.initials: DS
authors.lastname: Naidu
mesh_terms: D003198:Computer Simulation; D004576:Electromyography / Q000379:methods*; D025461:Feedback, Physiological; D006801:Humans; D007595:Joint Prosthesis; D008297:Male; D008328:Man-Machine Systems; D008954:Models, Biological; D009119:Muscle Contraction; D053580:Muscle Strength; D018482:Muscle, Skeletal / Q000503:physiopathology*; D055815:Young Adult