Gerontology & Geriatric Research

Abstract

Severity Assessment Framework for Parkinson?s Disease with Real-Time Bio-Kinematic Movement Tracking using Multi-Kinect System

K. Madhana*, L. S. Jayashree and K. Nithya Manoj

Parkinson's Disease (PD) is a severe and long-term neurodegenerative disorder of central nervous system. It is characterized by Freezing Of Gait (FOG) as one of the major symptoms, with an increasing incidence among elderly individuals. Existing FOG assessments through clinical examinations and scales by clinicians are subjective and unreliable. The quality of PD care is gradually being improved by sensor-based evaluation technologies that measure the symptoms objectively and enhance PD diagnosis and therapeutic intervention. An objective system for assessing FOG in patients with Parkinson's disease is proposed in this study. The proposed system uses multiple motion capture sensors to provide precise and reliable data to healthcare professionals regarding FOG and the progression of the disease. Seven healthy subjects trained to simulate the FOG condition were volunteered for the study. They are instructed to perform walking in a FOG-provoking path with several turning events. The proposed objective method visualizes the number of FOG occurrences and their duration. Experimental findings demonstrate the accuracy of the proposed system for FOG prediction in the conducted experiments. In the future, the reliability of the method will be studied with significantly larger datasets.

Published Date: 2024-12-31; Received Date: 2024-12-04