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

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European Journal of Technique
Volume:10 Issue:1
IDENTIFICATION OF PARKINSON’S DISEASE BY AR MODELLING OF GAIT SIGNALS

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

Authors : Ömer AKGÜN, Aydın AKAN

Pages : 153-159

Doi:10.36222/ejt.681232

View : 17 | Download : 9

Publication Date : 2020-06-01

Article Type : Research Paper

Abstract :Parkinson`s is a neurodegenerative disease that, as in the case of other neurodegenerative diseases, has disruptive effects on human mobility. In this study, gait markers were obtained by using sensors under the foot, giving an output proportional to the force. Normal gait markers were compared with those of Parkinson’s patients. Thus, individuals with Parkinson`s were identified by comparing the impulse model of gait markers obtained from normal individuals with those of Parkinson`s patients.
Keywords : parkinson, gait markers, impulse model

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