Detecting Electroencephalography Variations Due to Sleep Disordered Breathing Events
This study investigates the ability of EEG in identifying apnea/hypopnea events. A preliminary study was performed on 13 subjects (ages: 49.08 plusmn 8.82) previously diagnosed with OSA. Power spectral analysis was performed and centered on apnea/hypopnea event terminations. The normalized power cha...
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Published in | 2007 29th Annual International Conference of the IEEE Engineering in Medicine and Biology Society Vol. 2007; pp. 6097 - 6100 |
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Main Authors | , , , |
Format | Conference Proceeding Journal Article |
Language | English |
Published |
United States
IEEE
01.01.2007
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Subjects | |
Online Access | Get full text |
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Summary: | This study investigates the ability of EEG in identifying apnea/hypopnea events. A preliminary study was performed on 13 subjects (ages: 49.08 plusmn 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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ISBN: | 9781424407873 1424407877 |
ISSN: | 1094-687X 1557-170X 1558-4615 |
DOI: | 10.1109/IEMBS.2007.4353740 |