@article{ref1,
title="Low-cost EEG-based sleep detection",
journal="Conference proceedings - IEEE engineering in medicine and biology society",
year="2014",
author="Van Hal, Bryan and Rhodes, Samhita and Dunne, Bruce and Bossemeyer, Robert",
volume="2014",
number="",
pages="4571-4574",
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 &quot;NeuroSky Mindset,&quot; 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.<p /> <p>Language: en</p>",
language="en",
issn="1557-170X",
doi="10.1109/EMBC.2014.6944641",
url="http://dx.doi.org/10.1109/EMBC.2014.6944641"
}