Currently, the hand rehabilitation devices used by hemiparetic patients are bulky and cumbersome, which makes it challenging to meet the needs of home-based rehabilitation. To address this issue, this study has developed a lightweight and flexible sensor specifically designed for finger joint rehabilitation training. This sensor can accurately capture the degree of finger joint flexion while also enhancing comfort. It is expected to provide a reliable, convenient, and precise support for post-stroke hemiparetic patients' hand rehabilitation.
The current knee joint rehabilitation devices are quite cumbersome and uncomfortable for the majority of knee joint rehabilitation patients. In view of this practical problem, this research has developed a lightweight and flexible knee joint flexion monitoring system. Using flexible components as the sensing elements, a small embedded system is established, providing a significantly improved comfort level and a more humanized user experience, while also facilitating further intelligent expansion of related functions.
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