隨著穿戴式產品的研究與開發越來越盛行，市面上充斥著各式各樣的生理監測系統，藉由感測生理訊號並以各式的分析方式進步輔助使用者了解自己的生理狀況。在眾多的生理指標中心臟健康資訊是最重要的數據之一，擷取方式除了傳統電訊號方式的心電圖外，使用穿透型光學感測指夾式的方式廣泛在醫院臨床上使用，其限制都在於線材導致活動不易，因此近幾年開始走向更輕便的穿戴式感測技術，訊號分析方面也有相當多研究發表。
本論文希望以系統的角度探討光學感測心率的方式在不同使用情境下是否能發展出新的應用。硬體上使用反射式光學感測器去設計擷取電路，配合加速度器做動作偵測，為了驗證系統的正確性、穩定性以及延伸應用安排了三項實驗，實驗一：本系統與傳統心電圖同時進行標準五分鐘心律變異度分析比較其正確性；實驗二：長時間以連續監測為目的收錄整夜本系統之訊號與心電圖來驗證其穩定性；實驗三：試著探討心律偵測是否有新的應用，結合睡眠相關研究基礎以臨床用生理紀錄器配合本系統進行午睡量測。根據前兩項實驗的結果顯示，本系統與標準的心電圖所得到的結果皆有高於九成以上的一致性，能有效的提供短時間標準心律變異度量測以及長時間的自律神經與生理指標紀錄。在應用延伸上收集並分析了心律變化與午睡週期的相關性，在入睡時間、深淺睡眠轉換與最佳午睡時間有近一步的討論，顯示本系統結合心律變化與加速度計確實能得到更多有用的生理資訊。

In recent years, the research about wearable device becomes popular. There are many products claimed its function for monitoring physiological signal with various ways to assist users knowing their physical condition. One of most directly related to health is the function of the heart. The electrocardiography is the traditional method to measure it. In clinical use, pulse oximeter with transmitted optical technology is another way has been widely applied. As mentioned above, those are not comfortable and convenient because of limitation by electro and wire. Therefore, the wearable sense technology and research about application grow rapidly.
In this study, we design a system with reflective optical sensor technology to sense pulse rate and accelerometer to capture body movement then discuss its application in different user scenario. For the reason that we arrange three experiments for evaluating system’s accuracy, stability and futurity. First, short-term HRV analysis to compare each parameter between PPG from our system and ECG from Holter. Second, long-term all-night recording for verifying stability and monitoring function. Last, we do the interdisciplinary research about nap to correlate the relationship between cardiac rhythms and sleep stage for innovation. The former two experiments show that our system could provide the identical result as traditional ECG Holter above 90% consistency. We prove that our system is suitable for not only short-term standard HRV analysis but also long-term continuous autonomic nervous system recording. For its application, we record the multi physiological by polysomnography and pulse rate by our system at nap. After analyzing, we get the preliminary relationship between cardiac rhythms and sleep stage at nap such as the decreased heartbeat would accompany with sleep begins, the steady heartbeat might lead to deep sleep. Those characteristic give us more physiological information about nap.

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