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    Please use this identifier to cite or link to this item: http://ir.lib.ncu.edu.tw/handle/987654321/72443

    Title: Wireless Peripheral Measurement and Data Processing for gait Assessment of Knee Osteoarthritis Patients
    Authors: 何政易;Ho,Cheng-Yi
    Contributors: 機械工程學系
    Keywords: 慣性感測;表面肌電圖;退化性膝關節炎;步態分析;inertial sensing;surface electromyography;knee Osteoarthritis;gait analysis
    Date: 2016-08-19
    Issue Date: 2016-10-13 14:56:10 (UTC+8)
    Publisher: 國立中央大學
    Abstract: 對於退化性膝關節炎的嚴重程度判斷多以X光等光學影像為判斷基準,但病人的疼痛和僵硬狀態與其軟骨磨損程度並不成正相關。疼痛和僵硬卻會造下肢活動不正常,部分研究會著重於膝蓋的運動分析,認為膝蓋的功能受限為主因。而臨床經驗等復健師,認為主因不再膝蓋上,因此本研究著重於髖關節和腰部的活動,並試圖找出差異性。
    ;For Knee Osteoarthritis (OA) severity is determined optical image, but the wear of cartilage isn’t related to clinical symptoms of pain and stiffness. Some researchers focus on knee movement analysis. They consider that knee movement is highly correlated with pain and stiffness. Some physiotherapists with clinical experience don’t think this. It considers lumbar and hip movement maybe is the reason.
    In this study, we integrate the wireless inertial sensing and surface electromyography as a wireless peripheral measurement system first. Then, we acquire the signals from knee OA patients and extract the gait cycle through the spectral analysis and quaternion. In the end, extract the feature to distinguish normal and knee OA group through statistics analysis. The result of experiment hip movement and lumbar anterior are a significant difference. The muscles performance is also a significant difference in this study propose feature method.
    Appears in Collections:[機械工程研究所] 博碩士論文

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