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Gait Analysis of Healthy and Parkinson’s Disease Patients in Elderly Population Using FMCW Radar

Authors:
Sohaib Abdullah
Shahzad Ahmad
Chanwoo Choi
Hee Jin Kim
Kyung Hae Choi
Sung Ho Cho

Keywords: gait analysis, elderly care, Parkinson's disease, FMCW radar.

Abstract:
Parkinson's Disease (PD) is a prevalent neurological disorder among elderly individuals, resulting in reduced gait control. Technological advancements have brought us many PD sensors based on gait analysis. Amongst these solutions, RF sensors such as, Frequency Modulated Continuous Wave (FMCW) radars have been increasingly used due to their non-invasive nature and ability to operate across different lighting conditions. This study aims to assess the possibility of using FMCW radar-extracted gait parameters for PD detection. Four gait parameters were extracted using radar and reference Inertial Measurement Unit (IMU) sensors from twenty elderly participants including ten control and ten PD patients. The results suggest that FMCW radar can effectively measure step time, step length, step speed, and cadence with Mean Absolute Percentage Error (MAPE) of 8.8%, 10.17%, 9.01%, and 2.82% respectively. Based on these parameters, gait asymmetry was also measured. The difference between control group and PD group in terms of the aforementioned parameters verify the effectiveness of using radar for PD screening.

Pages: 48 to 54

Copyright: Copyright (c) IARIA, 2024

Publication date: November 3, 2024

Published in: conference

ISSN: 2308-3514

ISBN: 978-1-68558-208-1

Location: Nice, France

Dates: from November 3, 2024 to November 7, 2024