分析結果顯示，不同復原情形病患與改善其運動損傷相關的運動指標確實有所不同，運動效率、接近直線軌跡及速度穩定度的提升與復原良好的病患運動功能改善有關；而復原普通的病患運動速度及手部施壓能力的提升有助於運動功能提升。本研究也發現運動指標表現能夠精準預測病患的復健情形，顯示復健過程中運動指標的變化能當成設計復健療程的依據，而虛擬實境能夠幫助及時調整復健方針。總結來說，我們的研究結果說明個別化的復健療程將有機會為病患帶來更多的益處。未來我們希望能證實以運動指標及時評估與調整復健，能夠讓病患運動功能損傷獲得更多改善，使復健更有效率。 ;Rehabilitation is one of the most frequently used therapeutic approaches to restore movement impairment after stroke, but significant variability exists between patients regarding rehabilitation efficacy. Many studies suggested that there is no optimal rehabilitation treatment suit to all patients. This study aims to identify the motion kinetics extracted from the virtual reality based rehabilitation that are significantly correlated with the functional improvement. Twenty -one stroke patients were recruited and were labeled as either having favourable (n=11) or poor recovery (n=10) according to whether their postrehabilitation improvement of Fugl-Meyer assessment has reached the 10% level of clinical significance. The clinical scores before the intervention revealed no significant difference in the initial impairments between the favourable and poor recovery groups. However, we found that the changes of motor kinetics during VR rehab differs in patients with different improvement levels: For patients with good recovery, the increase of efficiency, speed stability and straightness of trajectory leads to better functional improvement; For patients with poor recovery, the increase of motion speed and palm strength promotes the recovery. In additional, these kinematic features can be used to accurately predict the recovery outcome and thus server as guidance when designing the rehab strategy. In conclusion, our findings provide evidence that individualized treatment could most benefit patients and facilitate effective rehabilitation. In a future work, we will test whether real-time adjustment of rehabilitation according to the kinematic features can further improve the functional impairments.
