Guo, Bingchen;
Kelly, Merlin Angel;
Xu, Tianming;
Li, Ziyi;
Cho, Youngjun;
(2025)
Portable Rehabilitation System for Stroke Patients with Hemiplegia using Limb Movement Recognition and EMG.
In:
Proceedings of the Extended Abstracts of the CHI Conference on Human Factors in Computing Systems.
(pp. pp. 1-5).
Association for Computing Machinery
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Abstract
Existing rehabilitation training for post-stroke hemiplegic patients depends primarily on the guidance of the clinicians. However, training effectiveness is influenced by various factors, including training intensity, and there is no immediate feedback and objective evaluation data. This work introduces a portable rehabilitation support system that combines motion capture, electromyography (EMG) and physical feedback (vibration, electrical stimulation). By comparing the difference in EMG signals between the normal and affected sides during standard movements, the system quantifies rehabilitation progress and highlights muscle activation differences. The accompanying mobile app can provide stage-by-stage rehabilitation guidance to help patients choose exercises that are appropriate for their level of performance, and potentially allows online consultation with a physician for immediate feedback. This approach can possibly integrate evaluation, training recommendations, telehealth assistance, and physical therapy in one place to create an accessible and tailored home rehabilitation program.
| Type: | Proceedings paper |
|---|---|
| Title: | Portable Rehabilitation System for Stroke Patients with Hemiplegia using Limb Movement Recognition and EMG |
| Event: | CHI EA '25: Extended Abstracts of the CHI Conference on Human Factors in Computing Systems |
| ISBN-13: | 979-8-4007-1395-8 |
| Open access status: | An open access version is available from UCL Discovery |
| DOI: | 10.1145/3706599.3721187 |
| Publisher version: | https://doi.org/10.1145/3706599.3721187 |
| Language: | English |
| Additional information: | This version is the author accepted manuscript. For information on re-use, please refer to the publisher's terms and conditions. |
| UCL classification: | UCL UCL > Provost and Vice Provost Offices > UCL BEAMS UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science > Dept of Computer Science |
| URI: | https://discovery.ucl.ac.uk/id/eprint/10207780 |
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