Abstract

Post-stroke dysphagia (PSD) profoundly affects patients' physical health, functional independence, and overall quality of life. However, existing rehabilitation strategies often face challenges in treatment adherence due to insufficient real-time feedback and low patient motivation. To address these limitations, this study designed and evaluated Dysphagia Dynamics, a wearable rehabilitation system integrating surface electro myo graphy (sEMG)-based biofeedback to guide Chin Tuck Against Resistance (CTAR) training. The system includes a wearable device with adjustable resistance, with embedded sensors for monitoring muscle activity, and a mobile application interface that provides visual and auditory feedback along with progress tracking. A one-week trial (n=36) found comparable swallowing improvements across groups, while our system increased motivation and reduced perceived fatigue compared with conventional training. The findings highlight how real-time physiological biofeedback combined with adaptive interaction design can effectively enhance engagement and improve rehabilitation outcomes among elderly patients. This work contributes to the growing body of design research that leverages physiological sensing to facilitate behaviour change and promote self-directed care.

Keywords

Biofeedback design; Post-stroke dysphagia; User motivation; Home

Creative Commons License

Creative Commons Attribution-NonCommercial 4.0 International License
This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License

Conference Track

Track 9 - Healthcare Design

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Dec 2nd, 9:00 AM Dec 5th, 5:00 PM

Dysphagia Dynamics: Momentary Biofeedback and User-Experience-Driven Wearable System for Post-Stroke Swallowing Rehabilitation

Post-stroke dysphagia (PSD) profoundly affects patients' physical health, functional independence, and overall quality of life. However, existing rehabilitation strategies often face challenges in treatment adherence due to insufficient real-time feedback and low patient motivation. To address these limitations, this study designed and evaluated Dysphagia Dynamics, a wearable rehabilitation system integrating surface electro myo graphy (sEMG)-based biofeedback to guide Chin Tuck Against Resistance (CTAR) training. The system includes a wearable device with adjustable resistance, with embedded sensors for monitoring muscle activity, and a mobile application interface that provides visual and auditory feedback along with progress tracking. A one-week trial (n=36) found comparable swallowing improvements across groups, while our system increased motivation and reduced perceived fatigue compared with conventional training. The findings highlight how real-time physiological biofeedback combined with adaptive interaction design can effectively enhance engagement and improve rehabilitation outcomes among elderly patients. This work contributes to the growing body of design research that leverages physiological sensing to facilitate behaviour change and promote self-directed care.

 

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