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• Main Authors: Kai-Yang Kao, 高凱揚
• Other Authors: Min-Chun Pan
• Format: Others
• Language: zh-TW
• Published: 2013
• Online Access: http://ndltd.ncl.edu.tw/handle/80371771832715652293

碩士 === 國立中央大學 === 機械工程學系在職專班 === 101 === Cerebrovascular disease also known as stroke remains the third among the top ten leading causes of death. Patients with stroke usually get some physical dysfunction like disability, hemiplegia or contracture that makes them lose life quality. The patients usually need to face a long rehabilitation process and employ various assistive devices. The main function of assistive devices is to improve or maintain patient’s act ability. For stroke patients to restore their hand function for fine movement is relatively difficult. A traditional aid "splint" can prevent joint deformities effectively. Besides, in recent years a variety of dynamic auxiliary gloves were developed that used elastic structure to help patients train their fingers like bend, stretch and grasping ability. These aids can help patients to recover hand function effectively, but lack signal measurement and feedback for recording and quantifying hand exertion. This study aims to design (1) grip and (2) tip-pinch force measurement devices that combine flexible-force-sensor (FlexiForce Sensor) with assistive devices,and (3) thumb opposition sensing device. These sensing devices can quantify physical activity levels and help physicians assess the effectiveness of rehabilitation. Addition, ally these developed sensing and assistive devices are combining with virtual reality games. They can make the rehabilitation process further interesting, enhance the patients’ motivation on the tasks, and eventually increase the performance.