Faculty Scholarly Dissemination Grants

Title

Low-Cost EEG-based Sleep Detection

Department

School of Engineering

College

Padnos College of Engineering and Computing

Disciplines

Engineering

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.

Conference Name

IEEE Engineering in Medicine and Biology Society (EMBC14)

Conference Location

Chicago, IL

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