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    jsp.display-item.identifier=請使用永久網址來引用或連結此文件: https://tkuir.lib.tku.edu.tw/dspace/handle/987654321/111459


    题名: 穿戴式入睡品質監測系統之研發
    其它题名: Development of a wearable system that indicates sleep induction
    作者: 李永文;Lee, Yung-Wen
    贡献者: 淡江大學電機工程學系博士班
    李揚漢;Lee, Yang-han
    关键词: 光學式心率;心率變異;加速規;睡眠品質;睡眠多項生理檢查;LFP;PRV;HRV;Accelerometer;Sleep Quality;Polysmnography
    日期: 2016
    上传时间: 2017-08-24 23:53:25 (UTC+8)
    摘要: 本論文以穿戴裝置 "光學式心率" 及 "心率變異" 並輔以 "加速規 (Accelerometer)" 偵測身體動量,結合腦波信號放大記錄模組分析入睡品質。並提出以 "t(LFPmin) 開始睡眠至心率變異LFP(Low Frequency Power)參數的最低點時間" 做為評估入睡品質之參考。
    醫學上以 "睡眠多項生理檢查(Polysomnography / PSG)"為分析睡眠分析的標準。 PSG結合多種檢驗設備,藉由專科醫師的經驗判斷,可分析睡眠狀態及睡眠障礙。但是複雜連接身體的導線與許多測試設備往往影響睡眠品質,且需專科醫師診斷,難以在居家生活中使用。
    Accelerometer (三軸G sensor) 手環/手錶偵測睡眠的原理是觀察受測者的手部晃動狀態。然而一般人在沉睡時身體應該是極度放鬆,因此身體不應該有任何移動或變化。而手部為身體的一部分,故以偵測手部動作取代偵測全部身體的晃動。手部長時間未晃動甚至長時間未曾改變姿勢,則代表進入熟睡。但受測者可能手部長時間未晃動,可是腳晃動如此造成以加速規偵測睡眠的方法並不準確。
    本論文提出以穿戴裝置 "光學式心率"之心率變異的LFP參數做為評估入睡品質監測之參考。輔以EEG腦波資料與睡眠期間心率變異資料,進而可更準確的判斷睡眠品質,做為改善睡眠品質之依據。
    The Heart Rate Variability (HRV) wearable device and Accelerometer with body activity information using the brainwave recording module can analyze the sleep quality through the parameter, t(LFPmin), defined as the start time for deep sleep. The t(LFPmin) can be obtained from one of the HRV parameters, LFP. Using the information from the HRV wearable device and Accelerometer, we can find the time difference between the LFPmin and the body activity stable signal as t(LFPmin). The body activity stable signal via the acclelerometer bracelet/ watch can represent the status entering the extremely relaxed during sleep. The duration of the body activity stable should not be any physical movement or change.

    The standard sleep analysis, Polysommnography (PSG) should ultilize a lot of testing equipments to bring sleep disorders via the body’s complex wire connection for a number of test equipments. The PSG analysis is difficult to use in the daily life’s sleep analysis.

    The LFP(Low Frequency Power) of HRV parameter can be used as a reference to determine the quality of sleep. Using the EEG brainwave data and heart rate variability information during sleep, we can analyze the sleep status for improving the quality of sleep.
    显示于类别:[電機工程學系暨研究所] 學位論文

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