Interhemispheric asynchrony correlates with severity of respiratory disturbance index in patients with sleep apnea

Abeyratne, U. R., Swarnkar, V., Hukins, C. and Duce, B. (2010) Interhemispheric asynchrony correlates with severity of respiratory disturbance index in patients with sleep apnea. IEEE Transactions on Biomedical Engineering, 57 12: 2947-2955. doi:10.1109/TBME.2010.2060197

Attached Files (Some files may be inaccessible until you login with your UQ eSpace credentials)
Name Description MIMEType Size Downloads

Author Abeyratne, U. R.
Swarnkar, V.
Hukins, C.
Duce, B.
Title Interhemispheric asynchrony correlates with severity of respiratory disturbance index in patients with sleep apnea
Journal name IEEE Transactions on Biomedical Engineering   Check publisher's open access policy
ISSN 0018-9294
1558-2531
Publication date 2010-12
Sub-type Article (original research)
DOI 10.1109/TBME.2010.2060197
Volume 57
Issue 12
Start page 2947
End page 2955
Total pages 9
Place of publication Piscataway, NJ, United States
Publisher I E E E
Collection year 2011
Language eng
Formatted abstract
Obstructive sleep apnea (OSA) hypopnea syndrome is a disorder characterized by airway obstructions during sleep; full obstructions are known as apnea and partial obstructions are called hypopnea. Sleep in OSA patients is significantly disturbed with frequent apnea/hypopnea and arousal events. We illustrate that these events lead to functional asymmetry of the brain as manifested by the interhemispheric asynchrony (IHA) computed using EEG recorded on the scalp. In this paper, based on the higher order spectra of IHA time series, we propose a new index interhemispheric synchrony index (IHSI), for characterizing brain asynchrony in OSA. The IHSI computation does not depend on subjective criteria and can be completely automated. The proposed method was evaluated on overnight EEG data from a clinical database of 36 subjects referred to a hospital sleep laboratory. Our results indicated that the IHSI could classify the patients into OSA/non-OSA classes with an accuracy of 91% (ρ = 0.0001), at the respiratory disturbance index threshold of 10, suggesting that the brain asynchrony carries vital information on OSA. © 2010 IEEE.
Keyword Coherence analysis
EEG
interhemispheric asynchrony (IHA)
sleep apnea
Q-Index Code C1
Q-Index Status Confirmed Code
Institutional Status UQ
Additional Notes Article number 5523934

Document type: Journal Article
Sub-type: Article (original research)
Collections: Official 2011 Collection
School of Information Technology and Electrical Engineering Publications
 
Versions
Version Filter Type
Citation counts: TR Web of Science Citation Count  Cited 6 times in Thomson Reuters Web of Science Article | Citations
Scopus Citation Count Cited 8 times in Scopus Article | Citations
Google Scholar Search Google Scholar
Created: Sun, 12 Dec 2010, 00:07:17 EST