| Detecting electroencephalography variations due to sleep disordered breathing events. | |
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MedLine Citation:
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PMID: 18003406 Owner: NLM Status: MEDLINE |
Abstract/OtherAbstract:
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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. |
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Authors:
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Priya Xavier; Khosrow Behbehani; Donald Watenpaugh; John R Burk |
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Publication Detail:
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Type: Evaluation Studies; Journal Article |
Journal Detail:
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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:
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Created Date: 2007-11-16 Completed Date: 2008-03-28 Revised Date: - |
Medline Journal Info:
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Nlm Unique ID: 101243413 Medline TA: Conf Proc IEEE Eng Med Biol Soc Country: United States |
Other Details:
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Languages: eng Pagination: 6098-101 Citation Subset: IM |
Affiliation:
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Joint Biomedical Engineering Program, University of Texas, Arlington, USA. |
Export Citation:
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APA/MLA Format Download EndNote Download BibTex |
| MeSH Terms | |
Descriptor/Qualifier:
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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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