NDLI: Early detection of falling asleep at the wheel: A Heart Rate Variability approach

Content Provider	IEEE Xplore Digital Library
Author	Furman, G.D. Baharav, A. Cahan, C. Akselrod, S.
Copyright Year	2008
Description	Author affiliation: Tel Aviv Univ., Tel Aviv (Furman, G.D.; Baharav, A.) \|\| Shaare Zedek Med. Center, Jerusalem (Cahan, C.)
Abstract	In this study we check the feasibility of a new ECG-based approach to detect driverspsila propensity to fall asleep at the wheel. Ten healthy volunteers, under conditions of increasing sleep deprivation (up to 34 hours), were asked to alternately undergo a Maintenance of Wakefulness Test or a Driving Simulation test every 2 hours while ECG, EEG, EMG, eye movement and video were recorded. Results from 59 falling asleep (FA) events tracked from the first 5 volunteers during MWT provide promising trends: Heart Rate Variability in the VLF range decreases consistently and significantly minutes before FA events. The sympatho-vagal balance is very low compared to baseline wake values for about 5 minutes before the events. The mean HR and overall RR variability decrease during FA events by 2.2 SD and 2.9 SD below regional means. These changes found during MWT suggest that ECG derived parameters in the time and time-frequency domains may provide a useful tool for monitoring driverspsila drowsiness and preventing traffic accidents.
Starting Page	1109
Ending Page	1112
File Size	285934
Page Count	4
File Format	PDF
ISBN	9781424437061
ISSN	02766547
DOI	10.1109/CIC.2008.4749240
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2008-09-14
Publisher Place	Italy
Access Restriction	Subscribed
Rights Holder	Computers in Cardiology(CinC)
Subject Keyword	Heart rate detection Wheels Heart rate variability Testing Electrocardiography Sleep Brain modeling Electroencephalography Electromyography Heart rate
Content Type	Text
Resource Type	Article

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