Pattern recognition of spastic motion

Author

Chelette, Tamara L. ; Repperger, Daniel W. ; Phillips, Chandler A.

Author_Institution

Armstrong Lab., Wright-Patterson AFB, OH, USA

fYear

1996

fDate

29-31 Mar 1996

Firstpage

423

Lastpage

426

Abstract

Individuals who experience random motor spasms during forearm motion were selected from diagnostic groups including head trauma, cerebro-vascular accident, and cerebral palsy. An engineering analysis technique involving pursuit target tracking examination in the error phase plane and fuzzy logic is applied to the problem of recognition of an uncommanded motion of the forearm. These patterns are then used as the basis for a proposed adaptive controller that would assist the individual in overcoming the motor spasm and returning to useful control

Keywords

adaptive control; biocontrol; biomechanics; fuzzy logic; handicapped aids; pattern recognition; target tracking; cerebral palsy; cerebrovascular accident; engineering analysis technique; error phase plane; forearm motion; head trauma; joystick controller; motor spasm overcoming; pursuit target tracking examination; spastic motion pattern recognition; uncommanded motion recognition; useful control; Adaptive control; Birth disorders; Force control; Fuzzy control; Fuzzy logic; Fuzzy set theory; Humans; Laboratories; Pattern recognition; Target tracking;

fLanguage

English

Publisher

ieee

Conference_Titel

Biomedical Engineering Conference, 1996., Proceedings of the 1996 Fifteenth Southern

Conference_Location

Dayton, OH

Print_ISBN

0-7803-3131-1

Type

conf

DOI

10.1109/SBEC.1996.493265

Filename

493265