DocumentCode :
670598
Title :
Computer based sleep staging: Challenges for the future
Author :
Hamida, S. Tmar-Ben ; Ahmed, Beena
Author_Institution :
Electr. & Comput. Eng. Dept., Texas A&M Univ., Doha, Qatar
fYear :
2013
fDate :
17-20 Nov. 2013
Firstpage :
280
Lastpage :
285
Abstract :
Studies have shown that patients suffering from sleep deprivation have a risk for hypertension, diabetes and depression that is higher than normal sleepers. Treatment for all these problems requires accurate analysis of the sleep stages and patterns in the polysomnographic signals collected in overnight recording over several months. However, manual sleep staging is a repetitive and time-consuming process as marking one typical eight hours overnight polysomnographic recording can take up to two hours to complete. Due to increased processing capabilities, it is now possible to automate this process and assist the sleep expert. A large number of algorithms have been proposed during the last few decades. This review article presents an overview of the existing automatic sleep staging methods, discusses the different challenges and proposes future prospects for new research opportunities.
Keywords :
medical signal processing; patient treatment; sleep; automatic sleep staging methods; computer based sleep staging; depression; diabetes; hypertension; polysomnographic signals; sleep deprivation; sleep patterns; sleep stages; Conferences; Electroencephalography; Electromyography; Electrooculography; Feature extraction; Sleep; Standards; Automatic sleep staging; Biomedical systems; Classification; Features extraction; PSG signals; Sleep deprivation;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
GCC Conference and Exhibition (GCC), 2013 7th IEEE
Conference_Location :
Doha
Print_ISBN :
978-1-4799-0722-9
Type :
conf
DOI :
10.1109/IEEEGCC.2013.6705790
Filename :
6705790
Link To Document :
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