應用於中風後肩關節復健之慣性量測系統開發與新量化評估方法;Study of implementing an inertia measurement system and a new quantitative evaluation method on post-stroke rehabilitation of shoulder joint.

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题名:	應用於中風後肩關節復健之慣性量測系統開發與新量化評估方法;Study of implementing an inertia measurement system and a new quantitative evaluation method on post-stroke rehabilitation of shoulder joint.
作者:	陳柏全;Chen,Bo-quan
贡献者:	生物醫學工程研究所
关键词:	量化評估;慣性感測;復健評估;評估量表;rehabilitation evaluation;inertial measurement system;assessment scale;quantitative evaluation
日期:	2012-08-22
上传时间:	2012-09-11 18:11:22 (UTC+8)
出版者:	國立中央大學
摘要:	傳統中風後復健評估方式中，臨床上多使用例如傅格－梅爾身體性能量表、沃夫動作功能測試、坦帕手功能量表等李克特量表，傳統評估量表雖已行之有年且評估結果為各界所接受，但其缺點在於評估結果因治療師而異，且李克特量表為量尺分數依級距給分，若個案狀況恰好位於兩個分數之間，會造成給分困難或無法正確描述個案復健成效的情況。　　研究中建立一套中風後復健評估使用之慣性感測系統，並基於傳統量表的復健評估準則，提出三種復健成效評估的量化指標，發展客觀的量化評估系統，最後利用中風病患的個案討論本復健成效量化評估方法與傳統復健評估量表之相關性以及優缺點。由量化結果得知本方法可正確反應患者復健前後的差異，驗證利用慣性訊號在復健成效評估上的可行性。　In clinical settings, traditional stroke rehabilitation evaluation methods typically employ FMA, WMFT, TEMPA, and other Likert-type assessment scales. Although traditional assessment scales have a long history and evaluation results accepted widely in various fields, they have the worst disadvantage of variations in results based on different occupational therapists. Likert scales give scale scores based on numerical ranges. If an individual case exists between two scores, scoring becomes problematic and the description of the case’s rehabilitation result may be inaccurate.　This study constructs an inertia measurement system for stroke rehabilitation evaluation and proposes 3 rehabilitation effect evaluation quantitative indicators based on rehabilitation assessment criteria of traditional scales. An objective quantitative evaluation system is subsequently developed, and, finally, a stroke patient case is employed to discuss the correlation between the proposed rehabilitation result quantitative evaluation method and traditional rehabilitation evaluation scales, as well as their advantages and disadvantages. Quantitative results indicate the proposed method accurately reflects patients’ changes between pre- and post-rehabilitation, confirming the feasibility of applying inertial signals to rehabilitation effect evaluation.
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