Document Detail


Detecting electroencephalography variations due to sleep disordered breathing events.
MedLine Citation:
PMID:  18003406     Owner:  NLM     Status:  MEDLINE    
Abstract/OtherAbstract:
This study investigates the ability of EEG in identifying apnea/hypopnea events. A preliminary study was performed on 13 subjects (ages: 49.08+/-8.82) previously diagnosed with OSA. Power spectral analysis was performed and centered on apnea/hypopnea event terminations. The normalized power changes between the frequency bands delta, theta, alpha and sigma were calculated using the Welch Averaging Periodogram method between 10 s of EEG data before the event termination and 10 s of EEG data after event termination. A significant decrease in normalized Delta power (1-4 Hz) (p=1.34E-06) and a significant increase in normalized Theta (4-8 Hz) (p=0.0002), Alpha (8-12 Hz) (p=0.0001) and Sigma (12-16 Hz) (p=0.0007) powers were observed across the event terminations. The decrease in Delta is hypothesized as occurring due to an increase in inspiratory effort before events and the presence of an increased alpha/theta/sigma activity after the events indicates the occurrence of an arousal which led to the termination of the event.
Authors:
Priya Xavier; Khosrow Behbehani; Donald Watenpaugh; John R Burk
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Publication Detail:
Type:  Evaluation Studies; Journal Article    
Journal Detail:
Title:  Conference proceedings : ... Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Conference     Volume:  2007     ISSN:  1557-170X     ISO Abbreviation:  Conf Proc IEEE Eng Med Biol Soc     Publication Date:  2007  
Date Detail:
Created Date:  2007-11-16     Completed Date:  2008-03-28     Revised Date:  -    
Medline Journal Info:
Nlm Unique ID:  101243413     Medline TA:  Conf Proc IEEE Eng Med Biol Soc     Country:  United States    
Other Details:
Languages:  eng     Pagination:  6098-101     Citation Subset:  IM    
Affiliation:
Joint Biomedical Engineering Program, University of Texas, Arlington, USA.
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MeSH Terms
Descriptor/Qualifier:
Algorithms*
Brain / physiopathology*
Diagnosis, Computer-Assisted / methods*
Electroencephalography / methods*
Female
Humans
Male
Middle Aged
Pattern Recognition, Automated / methods*
Reproducibility of Results
Sensitivity and Specificity
Sleep Apnea, Obstructive / diagnosis*,  physiopathology*

From MEDLINE®/PubMed®, a database of the U.S. National Library of Medicine


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