「世大智科/天才家居」-我們創業囉
Contact Professor: Yeh-Liang Hsu (徐業良)

九十六學年度元智大學機械工程研究所劉宗翰碩士論文

Master thesis by T. H. Liu, Mechanical Engineering Department, Yuan Ze University, 2008

96碩士論文:分散式遠距居家照護系統應用於日常生活活動監測之研究

  本研究在分散式遠距居家照護系統(Decentralized home telehealth system)的架構下,結合分散式資料伺服器(Distributed Data Server, DDS)與各類非察覺式感測器,以ZigBee無線傳輸方式傳輸感測器訊號,建構一居家環境下之日常生活活動(Activities of Daily Living, ADL)監測系統,藉長期監測蒐集得到的資料發展分析演算法。
  本研究並發展出一套比對當日ADL資料與歷史資料模式是否符合的分析方法,對於有時間模式的ADL資料以時間序列圖呈現,與歷史均線相比較的皮爾森相關係數作為指標;無時間模式的ADL資料則以ADL能量排序圖呈現,以當日ADL資料與歷史資料之總能比(Energy ratio)與時間比(Time ratio)作為指標。最後將各指標綜合為單一指標共同分析各種ADL的資料。

Development of a Decentralized Home Telehealth System for Activities of Daily Living Monitoring

  In this study, a monitoring system for long-term monitoring of activities of daily living (ADL) in the user’s home is constructed. This system integrates the distributed data server (DDS), ADL sensors, and wireless ZigBee transmitters. The user can login the DDS to retrieve data and observe the trend of ADL variations .
  Analysis methods for ADL data are also developed to find whether the daily ADL data matches the pattern of historical data. For ADL data with time-pattern, the Pearson’s correlation factor of the daily ADL curve and the historical average curve is used as the index. For ADL data without time pattern, the data is displayed by ADL energy rank. The energy ratio and time ratio of the daily ADL and historical ADL data are used as indices. And conclude these factors using a method to analysis all kinds of the ADL .

Academic Thesis
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Last Updated:2010/6/8