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    Please use this identifier to cite or link to this item: http://ir.lib.ncu.edu.tw/handle/987654321/71429

    Title: 以運動指標預測復健成效暨設計復健方針;Using Kinematic Features to Predict Rehabilitation Outcome and Guide Rehabilitation Strategy
    Authors: 廖翊涵;Liao,Yi-Han
    Contributors: 生物醫學工程研究所
    Keywords: 虛擬實境;運動指標;復健方針;Virtual Reality;Kinematic Features;Rehabilitation Strategy
    Date: 2016-08-18
    Issue Date: 2016-10-13 13:03:53 (UTC+8)
    Publisher: 國立中央大學
    Abstract: 復健療程一直是改善中風造成的運動失能的主要方式之一,雖然多數的復健運動都被證實具有復健效果,卻不是全部的病患復健後運動功能損傷都獲得顯著提升。許多的文獻也提到復健療程沒有普遍的適用性。本研究透過虛擬實境系統提供中風復健療程並計算運動學相關指標,討論不同復健情形的病患與運動功能改善相關的運動學指標,藉此提出個別化的復健療程的指導方針。


    ;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.
    Appears in Collections:[生物醫學工程研究所 ] 博碩士論文

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