Pattern recognition of spastic motion

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