Using Kinematic Features to Predict Rehabilitation Outcome and Guide Rehabilitation Strategy

碩士 === 國立中央大學 === 生物醫學工程研究所 === 104 === 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 rehabil...

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Bibliographic Details
Main Authors: Yi-Han Liao, 廖翊涵
Other Authors: Chun-Chuan Chen
Format: Others
Language:zh-TW
Published: 2016
Online Access:http://ndltd.ncl.edu.tw/handle/82012302881284171345
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Summary:碩士 === 國立中央大學 === 生物醫學工程研究所 === 104 === 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.