| 摘要: | 中風是造成之腦部傷害主要疾病之一 ，其後遺症會因不同程度的持久性的神經損傷，進而衍生各式肢體運動的障礙，對於病患的日常活動將形成重大的挑戰，嚴重地影響患者的生活品質。隨著科技的發展以及普及化，醫療復健相關研究的學者紛紛嘗試整合各式新穎科技，進行新型復健訓練系統的開發。本研究針對上肢復健，分別對前臂以及手腕的耐力、伸展以及靈活度進行訓練，結合遊戲技術、力量回饋技術以及立體影像技術，開發虛擬實境體感式訓練任務。在復健過程中擷取多維度的實驗結果，包括臨床測試評估、任務表現、運動軌跡歷時資料以及心理情緒資料。研究目的為驗證系統的功能性、驗證系統對於復健的有效性、開發新型評估方法並探討人機互動的相關議題。經過對中風病人進行了初步的研究測試之後，實驗結果驗證了這套復健訓練系統各方面的功能性，而且能夠成功地擷取可靠且有價值的資訊，如透過運動軌跡歷時資料的運動分析以及歷次療程任務表現的統計分析，以做為未來驗證醫學療效以及發展新型臨床評估方法之用。不但如此，根據所量測之主觀感受之心理情緒資料顯示，本系統的確能夠促使病人繼續投入以本訓練系統為基礎的復健療程，樂在其中，並且對於訓練任務所可能產生的復健效果，也深具信心。Stroke is one of the major diseases causing brain injury. Its sequela will, depending on persistent nervous injury, derive different types of limb and body exercise barriers, causing large challenge to the daily life and seriously affecting the quality of life of the patients. Along with the popularity of new technologies, scholars in the fields of medical care and rehabilitation are trying to integrate all kinds of technologies to develop effective rehabilitation training system.In this study, for the rehabilitation of upper extremity, endurance, stretching and flexibility trainings were provided for the upper arm, the fore arm, and the wrist, respectively. Here game technology, force feedback technology and stereo image technology were integrated to develop virtual reality body perceptive training system. During the rehabilitation process, multi-dimensional experimental results were acquired, including, the clinical assessments, the task performance, the exercise track historical data and the psychological emotional data. The research objectives were to verify the functionality of the virtual reality system, to verify the effectiveness of the system on rehabilitation, to develop new assessment method and to explore issues related to human machine interaction.After initial pilot test was done for a patient with stroke, the experimental result has verified the functionalities of this virtual reality rehabilitation training system in several aspects. First, it could successfully acquire reliable and valuable information. For example, the medical therapeutic effect could be verified in the future, and new clinical assessment method could be developed through the exercise analysis by using the exercise track historical data and the statistical analysis of the task performance during the past therapeutic sessions. Moreover, according to the measured psychological emotional data as perceived subjectively by the patient, this system could force the patient to continuously engage and enjoy the rehabilitation therapeutic sessions. Finally, the authors are very confident on the possible generated rehabilitation effect of these six training tasks. |
