Publication: Robotic glove rehabilitation system
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Date
2024-08
Authors
Ong, Qian Hui
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Abstract
Stroke patients often face challenges in restoring motor functions and independence. This final year project studies the integration of rehabilitation technology by developing a Robotic Glove Rehabilitation System for better post stroke patient recovery. The system proposed in this study is designed to provide targeted and personalized therapy that focuses on the rehabilitation of hand and finger movements. The robotic glove implements mirror therapy method which aims to optimize therapy effectiveness and accelerate the recovery process. To create a flexible and responsive rehabilitation environment, the Arduino MEGA controls the actuators and flex sensors in the rehabilitation glove. A PID controller is implemented to ensure the precision of the DC motor pump while also increasing the system’s accuracy. The lightweight soft actuators are fabricated using the Ecoflex silicone rubber to provide a comfortable and adaptable fit for post-stroke patients. The real-time data collection and analysis capabilities enable the healthcare professionals to monitor progress and make informed adjustments to rehabilitation programs and provide patients with timely feedback. The effectiveness of mirror therapy is based on the real-time feedback loop. It allows mirrored movements of the unaffected hand to promote neuroplasticity and improve motor functions in the affected hand.