Objective measure of sleepiness and sleep latency via bispectrum analysis of EEG

Swarnkar, Vinayak, Abeyratne, Udantha and Hukins, Craig (2010) Objective measure of sleepiness and sleep latency via bispectrum analysis of EEG. Medical and Biological Engineering and Computing, 48 12: 1203-1213. doi:10.1007/s11517-010-0715-x


Author Swarnkar, Vinayak
Abeyratne, Udantha
Hukins, Craig
Title Objective measure of sleepiness and sleep latency via bispectrum analysis of EEG
Journal name Medical and Biological Engineering and Computing   Check publisher's open access policy
ISSN 0140-0118
1741-0444
1741-0800
Publication date 2010-12
Sub-type Article (original research)
DOI 10.1007/s11517-010-0715-x
Volume 48
Issue 12
Start page 1203
End page 1213
Total pages 11
Place of publication Heidelberg, Germany
Publisher Springer
Collection year 2011
Language eng
Formatted abstract
Chronic sleepiness is a common symptom in the sleep disorders, such as, Obstructive Sleep Apnea, Periodic leg movement disorder, narcolepsy, etc. It affects 8% of the adult population and is associated with significant morbidity and increased risk to individual and society. MSLT and MWT are the existing tests for measuring sleepiness. Sleep Latency (SL) is the main measures of sleepiness computed in these tests. These are the laboratory-based tests and require services of an expert sleep technician. There are no tests available to detect inadvertent sleep onset in real time and which can be performed in any professional work environment to measure sleepiness level. In this article, we propose a fully automated, objective sleepiness analysis technique based on the single channel of EEG. The method uses a one-dimensional slice of the EEG Bispectrum representing a nonlinear transformation of the underlying EEG generator to compute a novel index called Sleepiness Index. The SL is then computed from the SI. Working on the patient's database of 42 subjects we computed SI and estimated SL. A strong significant correlation (r ≥ 0.70, s < 0.001) was found between technician scored SL and that computed via SI. The proposed technology holds promise in the automation of the MSLT and MWT tests. It can also be developed into a sleep management system, wherein the SI is incorporated into a sleepiness index alert unit to alarm the user when sleepiness level crosses the predetermined threshold. © 2010 International Federation for Medical and Biological Engineering.
Keyword Sleepiness
Sleep latency
Bispectrum
Electroencephalography
Q-Index Code C1
Q-Index Status Confirmed Code
Institutional Status UQ

Document type: Journal Article
Sub-type: Article (original research)
Collections: Official 2011 Collection
School of Information Technology and Electrical Engineering Publications
 
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Created: Sun, 02 Jan 2011, 00:08:57 EST