IDENTIFICATION OF PARKINSON’S DISEASE BY AR MODELLING OF GAIT SIGNALS

Abstract

Parkinson's is a neurodegenerative disease that, as in the case of other_x000D_ neurodegenerative diseases, has disruptive effects on human mobility. In this_x000D_ study, gait markers were obtained by using sensors under the foot, giving an_x000D_ output proportional to the force. Normal gait markers were compared with_x000D_ those of Parkinson’s patients. Thus, individuals with Parkinson's were_x000D_ identified by comparing the impulse model of gait markers obtained from_x000D_ normal individuals with those of Parkinson's patients.