可攜式低功耗藍牙之脈搏生理訊號量測裝置用於評估睡眠品質

Estimation sleep quality using pulse wave signal with bluetooth low energy device

林敬堯(JING-YAO LIN)

指導教授 ： 胡威志

中原大學/工學院/生物醫學工程研究所/碩士(2015年)

https://doi.org/10.6840/cycu201500945

摘要

良好的睡眠與健康有密切的關係，近年來睡眠的監測需求大增，多導程睡眠偵測為睡眠狀態常見之偵測方式，但其量測過程繁縟且費時，導致容易忽略而沒辦法長期追蹤。多項研究已驗證光體積變化描記圖(PPG)與心電圖(ECG)的相關性，在頻譜分析表現出一致的特性，所得到的HRV資訊並不會有差異，頻譜上代表的生理意義也相同，在已發表之文獻中指出睡眠狀態下的HRV頻譜之高頻(HRV_HF)表現出高強度與平穩的狀態。
本研究發展一套利用PPG以低功耗之藍牙晶片裝置與Android行動裝置穿戴式生理（脈搏）訊號擷取裝置和智慧型手機即時顯示與儲存，實現了可即時監控使用者心率變異的系統模型。使用者僅需攜帶智慧型手機與配帶裝置即可達到即時測量，透過雲端於電腦上分析即可評估睡眠品質。
利用本研究訊號擷取裝置收集了10 位志願者各一小時的脈博訊號，將訊號通過數位濾波、重新取樣與FFT等方式取得HRV，觀察在平穩的睡眠狀態中的HRV_HF表現，同時比對了頻域分析與問卷結果，在6位有良好睡眠的受測者中有5位明確顯示出高強度與平穩的HRV_HF表現，以文獻記載論述HRV在生理意義上為副交感活性與睡眠指標之意義相同，所以本研究的穿戴式生理訊號擷取裝置可用於評估睡眠品質。往後還可以擴展至其他生理訊號的擷取，提升裝置的效能及續航力，以達到多面相的分析，讓系統更加完整。

關鍵字

光體積變化描記圖 ； 低功耗藍牙 ； 心率變異度 ； 睡眠

並列摘要

The application of Heart Rate Variability (HRV) has attracted more attention in recent years for its possibility of monitoring the autonomic nervous system (ANS). The low frequency power of HRV (HRV_LF) indicates the activity of sympathetic nervous system. The high frequency power of HRV signifies activity of parasympathetic nervous system. The application such as the power of HRV_HF could be used in monitoring the sleeping status. At present, the device used in sleep status monitor at clinics is polysomnogram (PSG). The procedure is used a bulky device, complicated wiring system and special environment setting. To simplify these complications with non-intrusion of data extraction method, it might greatly help patients to identify their cause of insomnia. Moreover, there were studies shown that the calculation of HRV could be using data from ECG as well as photoplethysmography (PPG). Therefore, this thesis sought for the possibility of using a wearable PPG device to acquire the pulse wave. The real time signal will be transmitted to a smartphone using Bluetooth low energy (BLE). Then, the pulse train will be transmitted to a server for further calculation of HRV. The one hour sleeping signal of ten volunteers has been used to analyze the sleep status.

One hour long PPG Pulse wave signal of 10 volunteers was acquired while subjects were sleeping. The pulse wave was processed to extract the pulse rate and resampled for HRV study via FFT transformation. The subjects were asked to answer a short questionnaire about his/her sleeping status. In comparison of six subjects with a good sleep state, there are five subjects whose HRV frequency spectrums have clearly shown a high strength, continuously and a smooth HRV_HF performance. This HRV indication is an index of the physiological significance of the parasympathetic activity at sleep. Therefore, this result suggests that the wearable physiological signal (PPG) acquisition device developed in the present study can be used to evaluate the sleeping status.

並列關鍵字

photoplethysmography(PPG) ； Bluetooth low-power(BLE) ； heart rate variability(HRV) ； sleep

參考文獻

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