title: Nonintrusive biosignal measurement system in a vehicle.
abstract: Measurement of driver's state is important in both daily healthcare and prevention of car accidents. Existing measurement methods, however, are too complex and uncomfortable to measure for everyday. A nonintrusive biosignal monitoring system is demanded for increasing the accessibility. In this paper, we proposed a nonintrusive measurement system integrated in a vehicle for recording electrocardiographic (ECG) signals and tested the performance of the system. The system consists of dry electrodes attached to the steering wheel and a wireless communication module using a Bluetooth device. ECG signals measured by our system were compared with those by a conventional system employing wet electrodes during real city road driving. Various parameters used for HRV analysis in time and frequency domain showed no significant differences between the two simultaneously measured ECG signals. The result implies the possibility that developed system could have a potential to monitor health information in a vehicle instead of commercial equipments.
authors.affiliation: Interdisciplinary Program in Medical and Biological Engineering, Seoul National University, Graduate School, Republic of Korea. leeshine@bmsil.snu.ac.kr
authors.forename: Haet Bit
authors.initials: HB
authors.lastname: Lee
authors.forename: Jong Min
authors.initials: JM
authors.lastname: Choi
authors.forename: Jung Soo
authors.initials: JS
authors.lastname: Kim
authors.forename: Yun Seong
authors.initials: YS
authors.lastname: Kim
authors.forename: Hyun Jae
authors.initials: HJ
authors.lastname: Baek
authors.forename: Myung Suk
authors.initials: MS
authors.lastname: Ryu
authors.forename: Ryang Hee
authors.initials: RH
authors.lastname: Sohn
authors.forename: Kwang Suk
authors.initials: KS
authors.lastname: Park
mesh_terms: D000328:Adult; D000465:Algorithms; D001334:Automobile Driving; D003195:Computer Communication Networks; D003627:Data Interpretation, Statistical; D004562:Electrocardiography / Q000295:instrumentation* / Q000379:methods; D004566:Electrodes; D004867:Equipment Design; D006339:Heart Rate; D006801:Humans; D008297:Male; D008991:Monitoring, Physiologic / Q000295:instrumentation* / Q000379:methods; D018986:Motor Vehicles; D012815:Signal Processing, Computer-Assisted; D013997:Time Factors