DocumentCode :
140531
Title :
Low-cost EEG-based sleep detection
Author :
Van Hal, Bryan ; Rhodes, Samhita ; Dunne, Bruce ; Bossemeyer, Robert
Author_Institution :
GE Aviation, Grand Rapids, MI, USA
fYear :
2014
fDate :
26-30 Aug. 2014
Firstpage :
4571
Lastpage :
4574
Abstract :
A real-time stage 1 sleep detection system using a low-cost single dry-sensor EEG headset is described. This device issues an auditory warning at the onset of stage 1 sleep using the “NeuroSky Mindset,” an inexpensive commercial entertainment-based headset. The EEG signal is filtered into low/high alpha and low/high beta frequency bands which are analyzed to indicate the onset of sleep. Preliminary results indicate an 81% effective rate of detecting sleep with all failures being false positives of sleep onset. This device was able to predict and respond to the onset of drowsiness preceding stage 1 sleep allowing for earlier warnings with the result of fewer sleep-related accidents.
Keywords :
electric sensing devices; electroencephalography; filtering theory; medical signal detection; medical signal processing; real-time systems; sleep; EEG signal filtering; NeuroSky mindset; low-cost EEG-based sleep detection; low-cost single dry-sensor EEG headset; low-high alpha frequency bands; low-high beta frequency bands; real-time stage 1 sleep detection system; Educational institutions; Electrodes; Electroencephalography; Fatigue; Radiation detectors; Sleep; Standards;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Engineering in Medicine and Biology Society (EMBC), 2014 36th Annual International Conference of the IEEE
Conference_Location :
Chicago, IL
ISSN :
1557-170X
Type :
conf
DOI :
10.1109/EMBC.2014.6944641
Filename :
6944641
Link To Document :
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