在駕駛的過程中，突發性的疾病時常導致交通意外。在此研究中，我們設計一套以可程式化系統單晶片（Programmable System on Chip，PSoC）為主的穿戴式感測器，可量測駕駛者耳垂的光體積變化描述波形（Photoplethysmogram，PPG）信號，並透過藍牙傳輸至智慧型手機。在智慧型手機上，開發一套心率偵測演算法，當偵測到異常的生理信號時，藉由手機的振動或是音效功能提醒駕駛者，同時透過手機的行動網路將手機GPS座標和異常生理信號值傳送至遠端伺服器（監控中心），讓醫護監控人員能夠監控駕駛者，並瞭解駕駛者最新的駕駛狀態。此外，為了減少移動雜訊所帶來的干擾，我們將PPG感測器的LED和光接收器置於磁環內，藉由穿透式的感測方式來量測耳垂的PPG信號。實驗結果顯示，在幾種駕駛的行為情境下，同時利用本裝置量到的PPG信號和ECG信號比較，所偵測到的心跳數差異為0，其表示此新型的PPG感測器在駕駛的行為情境下，可避免掉移動雜訊所帶來的干擾，並增加其心率偵測之準確性。

In the course of driving, sudden disease outbreak often cause traffic accidents. In this study, we designed a wearable photoplethysmography sensor module based on a Programmable System on Chip （PSoC）. It transmits photoplethysmogram （PPG） signal to a smartphone via Bluetooth. On the smartphone, a heart rate （HR） detection algorithm is implemented. When the abnormal HR is detected, the smartphone will use the sound and vibration to warn the driver. At the same time, physiological data and GPS location are also be transmitted to the remote server （monitoring center） via the mobile network, so that the staff on the center can monitor the newest information and understand the driver’s driving status. In order to reduce motion artifact, LED and silicon photodiode are put into the separate magnetic ring and use the transmission method to measure PPG signal on earlobe. The results show the difference in heart beats between the ECG method and our method is 0 in all driving behaviors test. It shows this new PPG sensor can prevent motion artifact effectively and increase accuracy of heart rate detection in driver’s physiological monitoring.

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