Research Article
Quantitation of Body Movement in a Motor Physical Therapy for Parkinson’s Disease
@ARTICLE{10.4108/eetpht.9.3149, author={Jorge Luis Rojas-Arce and Luis Jimenez-Angeles and Jose Antonio Marmolejo-Saucedo}, title={Quantitation of Body Movement in a Motor Physical Therapy for Parkinson’s Disease}, journal={EAI Endorsed Transactions on Pervasive Health and Technology}, volume={9}, number={1}, publisher={EAI}, journal_a={PHAT}, year={2023}, month={9}, keywords={remote sensor, Parkinson’s disease, physical therapy}, doi={10.4108/eetpht.9.3149} }- Jorge Luis Rojas-Arce
Luis Jimenez-Angeles
Jose Antonio Marmolejo-Saucedo
Year: 2023
Quantitation of Body Movement in a Motor Physical Therapy for Parkinson’s Disease
PHAT
EAI
DOI: 10.4108/eetpht.9.3149
Abstract
The present work shows the quantitation of body movement in a motor physical therapy for Parkinson’s Disease (PD). In recent years, many activities of therapy were carried out remotely using common RGB cameras to capture the body movements. We analyze the body movements of 8 subjects with clinical diagnosis of PD, and compare them with a control group of 11 healthy volunteers, processing their respective RGB video recordings with a software that identifies 17 specific body keypoints while subjects perform two motor rehabilitation therapies (cervical and lumbar spine). All videos were analyzed by OpenPose algorithm and angles from keypoints detected were computed to infer the rotation, rate and amplitude of movement of head, shoulder, back and pelvis. The results show that OpenPose algorithm could be used in a home environment specially in follow-up and management of the motor rehabilitation therapy for Parkinson’s disease.
Copyright © 2023 Jimenez-Angeles et al., licensed to EAI. This is an open access article distributed under the terms of the Creative Commons Attribution license (http://creativecommons.org/licenses/by/4.0/), which permits unlimited use, distribution and reproduction in any medium so long as the original work is properly cited.
