The Performance and Motion Analysis of Virtual Reality Combined With Motion-Sensing Technology in Shoulder Joint Rehabilitation System

• Main Authors: Yao-chung Fan, 范堯中
• Other Authors: Shih-ching Yeh
• Format: Others
• Language: zh-TW
• Published: 2013
• Online Access: http://ndltd.ncl.edu.tw/handle/71010590521790030871

碩士 === 國立中央大學 === 資訊工程學系 === 101 === Frozen shoulder is a common clinical disease. If a shoulder is injured, many everyday functions will be limited. Because of boring traditional treatment, patients are often unable to continue to complete the entire course of treatment it affects the result of rehabilitation. With advanced technology, many new technologies, such as: virtual reality technology, interactive technology, games technology etc., increasingly skilled and popularity, there are many studies combined with modern technology and medical rehabilitation science and technology for the development of new rehabilitation system. This study will focus on patients’ frozen shoulder rehabilitation exercises, including flexion, abduction, internal rotation, external rotation, and circling sports combined with virtual reality technology and interactive technology development shoulder rehabilitation system. It simulates life situational and task-oriented design of the training mission, while also designed to stimulate all kinds of perception (vision, hearing) to enhance the user immerse degrees, and the use of passive force feedback mode provides patients with true strength exciting, and more kinds of difficulty choose of the training mission, to adapt to different degree of injury to the patient. In order to investigate the effectiveness of the system of rehabilitation and patient acceptance of the technology and the development of new assessment exercise index, this study was designed clinical trials and recruited forty patients with frozen shoulder participate in the experiment, measured in the experiment, including clinical assessment, task performance, sports track process and user questionnaires and other information. Experimental results show that the system can effectively enhance the effectiveness of frozen shoulder rehabilitation, but also successfully developed a new type of movement indicator assessment function, the user for this system has a high degree of technology acceptance, willing to continue to use this system for pain rehabilitation.