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    Please use this identifier to cite or link to this item: http://ir.lib.ncu.edu.tw/handle/987654321/65686

    Title: 虛擬實境中風復健系統之上肢運動成效評估與運動分析
    Authors: 馮恒諺;Fong,Heng-yan
    Contributors: 資訊工程學系
    Keywords: 中風復健;虛擬實境;圖形識別;類神經網路;支持向量機;動態追蹤;Stroke rehabilitation;virtual reality;virtual environment;pattern recognition;neural network;support vector machine;SVM;motor track
    Date: 2014-07-28
    Issue Date: 2014-10-15 17:08:15 (UTC+8)
    Publisher: 國立中央大學
    Abstract: 在這數十年間,中風一直是全球重要的疾病之一,尤其是步入高齡化社會的已開發國家,隨著醫療進步,老年人口漸多,中風問題也日漸受重視。本研究針對上肢中風復健進行各項指標分析,嘗試找出可供治療師進行評估參考的資訊。
    ;In the past decades, stroke has been one of the world′s major diseases. Especially in the developed countries and aging society, with medical advances, an increasing elderly population, stroke problems are increasingly valued. In this study, we analyzed the different motor index for the stroke rehabilitation with upper extremity, try to find a new indicators information for therapists.
    Study is divided into two parts, the first is to identify motor index that correspond to the movement of the system, and analyzed if the motor index would impact result of clinical assessment scale. The second, when found out the motor index, we used large number of patient′s data to classify groups with pattern recognition, like neural network or SVM. Unlike clinical assessment scale multiple tests must be carried out in order to know the patient′s level of classification, we can analyze the patient′s classification status can be obtained directly through the game′s outcome and the motor index of data with system.
    The results of this study shows that part of the motor index for assessment scale have a considerable degree of influence. And after rehabilitation, the numerical of motor index also has definite progress. We used motor data that collected in system to establishing classification model also has a certain recognition rate. Thus establishing the classification model is a certain degree of feasibility.
    Appears in Collections:[資訊工程研究所] 博碩士論文

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