In the course of driving, sudden disease outbreak often cause traffic accidents. In this study, we designed a wearable photoplethysmography (PPG) sensor module based on a Programmable System on Chip (PSoC). It transmits 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 (remote health care center) via the 3G 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 there is 0 in all driving behaviors test. It shows this new PPG sensor can prevent motion artifact effectively in driver's physiological monitoring. © 2011 Springer-Verlag.
CITATION STYLE
Lin, Y. H., Lin, C. F., & You, H. Z. (2011). Security-Enriched Urban Computing and Smart Grid. Communications in Computer and Information Science (Vol. 223, pp. 326–335). Retrieved from http://www.scopus.com/inward/record.url?eid=2-s2.0-80655146188&partnerID=tZOtx3y1
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