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운전자 졸음 및 각성 상태 시 ECG신호 처리를 통한 심장박동 신호 특성

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Author(s)
김민수김윤년허윤석
Keimyung Author(s)
Kim, Yoon NyunHeo, Yun Seok
Department
Dept. of Internal Medicine (내과학)
Dept. of Biomedical Engineering (의용공학과)
Journal Title
한국자동차공학회지
Issued Date
2014
Volume
22
Issue
3
Keyword
AwakeDrowsinessElectrocardiogramHeart rate varibilitySleep statesawakedrowsinesselectrocardiogramheartratevaribilitysleepstates
Abstract
Distinct features in heart rate signals during the driver’s wake and sleep states could provide an initiative for the development of a safe driving systems such as drowsiness detecting sensor in a smart wheel. We measured ECG from health subjects (23.5±2.5 in age) during the wake and drowsiness states. The proposed method is able to detect R waves and R-R interval calculation in the ECG even when the signal includes in abnormal signals. Heart rate variability(HRV) was investigated for the time domain and frequency domains. The STD HR(0.029), NN50(0.044) and VLF power(0.0018) of the RR interval series of the subjects were significantly different from those of the control group(p < 0.05). In conclusion, there are changes in heart rate from wake to drowsiness that are potentially to be detected. The results in our study could be useful for the development of drowsiness detection sensors for effective real-time monitoring.
Alternative Title
Characteristics of Heart Rate Variability Derived from ECG during the Driver’s Wake and Sleep States
Keimyung Author(s)(Kor)
김윤년
허윤석
Publisher
School of Medicine
Citation
김민수 et al. (2014). 운전자 졸음 및 각성 상태 시 ECG신호 처리를 통한 심장박동 신호 특성. 한국자동차공학회지, 22(3), 136–142. doi: 10.7467/KSAE.2014.22.3.136
Type
Article
ISSN
1225-6382
Source
http://www.dbpia.co.kr/Journal/ArticleDetail/NODE02309752
DOI
10.7467/KSAE.2014.22.3.136
URI
https://kumel.medlib.dsmc.or.kr/handle/2015.oak/37158
Appears in Collections:
1. School of Medicine (의과대학) > Dept. of Biomedical Engineering (의용공학과)
1. School of Medicine (의과대학) > Dept. of Internal Medicine (내과학)
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