Rehabilitation For Stroke Survivors: The Development of a Smart Glove

Abstract

This research presents the development of a portable arm rehabilitation device designed to continuously monitor and enhance rehabilitation activities. The device incorporates flex sensors, force-sensitive resistors, and accelerometers interfaced with an ESP32 microcontroller to collect data on arm movements. This data is crucial for therapists to fine-tune treatment plans and provide patients with an effective home-based rehabilitation solution. Recent findings have shown the potential of home-based rehabilitation, yet existing technologies are often costly and complex to operate independently. The device aims to bridge this gap by offering a user-friendly and affordable solution. The system integrates various sensors, including flex sensors, force-sensitive resistors, and accelerometers, which are interfaced with an Arduino microcontroller. These sensors capture data related to arm movements, which is essential for therapists to tailor treatment plans and for patients to track their progress. The device aims to bridge the gap between costly and complex rehabilitation technologies and the need for accessible, home-based solutions. The study's novelty lies in its integration of sensor technology into a smart glove and its commitment to providing an affordable and effective rehabilitation solution. The continuous monitoring capabilities of the device offer valuable insights into patients' progress, improving the quality of rehabilitation programs. This work aligns with recent advancements in wearable technology and sensor systems for healthcare applications, emphasizing the importance of accessible rehabilitation solutions.