Paper Info
Title
Automated Sleep Staging Using Single EEG Channel for REM Sleep Deprivation
Abstract
In medical literatures, it has been reported that the increased REM (rapid eye movement) density is one of the characters of depressed sleep. Some experiments were conducted to confirm that REM sleep deprivation (REM-SD) for a period of time is therapeutic for endogenous depressed patients. However, because of its high complexity and intensive labor requirement, this therapy has not yet been proved validity by a sufficient amount of depressed patients. Therefore, we propose to develop an automated sleep staging system using only single EEG channel to achieve on-line detection for REM state during sleep. For classifier design, we use a dataset of 25 subjects and the staging accuracy can achieve 80%. Once the REM state is detected by the system, the system will alarm the subject to deprive the REM sleep. The effect of REM sleep deprivation can be examined by hypnogram and the proposed system will be applied for clinical trials of depression therapy.
Year
DOI
Venue
2009
10.1109/BIBE.2009.68
BIBE
Keywords
Field
DocType
increased rem,rem sleep deprivation,classifier design,depressed sleep,depression therapy,rem state,proposed system,automated sleep staging system,staging accuracy,endogenous depressed patient,depressed patient,single eeg channel,accuracy,sleep,bioinformatics,computer science,rem,sleep deprivation,electroencephalography,clinical trials,clinical trial,classification algorithms,support vector machines,biomedical engineering,feature extraction,depression
Computer science,Non-rapid eye movement sleep,Hypnogram,Sleep deprivation,Eye movement,Medical treatment,Bioinformatics,Audiology,Stage (cooking),Rem sleep deprivation,Electroencephalography
Conference
ISSN
Citations 
PageRank 
2471-7819
2
0.39
References 
Authors
2
3
Name
Order
Citations
PageRank
Yu-Hsun Lee120.39
Yong-Sheng Chen231430.12
Li-Fen Chen3397.16