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Joint symbolic dynamics as an effective approach for quantification of cardio-respiratory interaction in patients with obstructive sleep apnea syndrome

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dc.contributor.authorKabir, M.
dc.contributor.authorDimitri, H.
dc.contributor.authorSanders, P.
dc.contributor.authorAbbott, D.
dc.contributor.authorBaumert, M.
dc.contributor.conferenceInternational Conference on Electrical and Computer Engineering (7th : 2012 : Dhaka, Bangladesh)
dc.date.issued2012
dc.description.abstractThe aim of this study was to quantify cardiorespiratory interaction in patients with obstructive sleep apnea syndrome (OSAS) during night-time sleep using our recently proposed technique based on joint symbolic dynamics (JSD) and compare it with the synchrogram technique. We investigated overnight polysomnography data of 213 patients with OSAS. The R-R time series were extracted from electrocardiograms (ECG) and respiratory phases were obtained from abdominal displacement sensors using the Hilbert transform. For the JSD technique, both series were transformed into ternary symbol vectors based on the changes between two successive R-R intervals and the respective respiratory phases. Subsequently, words of length `3' were formed and the correspondence between words of the two series was determined for each sleep stage to quantify cardio-respiratory interaction. To determine the effect of OSAS severity on cardiorespiratory interaction, the cohort was trichotomized based on the apnea-hypopnea index (AHI): AHI≤15, 15<;AHI<;30, and AHI≥30. Using JSD approach, we found significantly lower cardiorespiratory interaction in patients with moderate and severe OSAS compared to patients with no/mild OSAS (slow-wave sleep: 20.9±4.7 vs. 17.8±3.5 and 15.5±4.7, p<;0.0001, respectively). Compared to the synchrogram technique, the JSD approach appears to be more sensitive and efficient for the analysis of cardio-respiratory interaction in patients with OSAS.
dc.description.statementofresponsibilityMuammar M. Kabir, Hany Dimitri, Prashanthan Sanders, Derek Abbott, and Mathias Baumert
dc.identifier.citationProceedings of the 2012 7th International Conference on Electrical and Computer Engineering, ICECE 2012: pp.133-136
dc.identifier.doi10.1109/ICECE.2012.6471503
dc.identifier.isbn9781467314367
dc.identifier.orcidSanders, P. [0000-0003-3803-8429]
dc.identifier.orcidAbbott, D. [0000-0002-0945-2674]
dc.identifier.orcidBaumert, M. [0000-0003-2984-2167]
dc.identifier.urihttp://hdl.handle.net/2440/77018
dc.language.isoen
dc.publisherIEEE
dc.publisher.placeOnline
dc.relation.granthttp://purl.org/au-research/grants/arc/DP0663345
dc.relation.granthttp://purl.org/au-research/grants/arc/DP0663345
dc.rights©2012 IEEE
dc.source.urihttps://doi.org/10.1109/icece.2012.6471503
dc.subjectheart
dc.subjectheart rate variability
dc.subjectrespiration.
dc.titleJoint symbolic dynamics as an effective approach for quantification of cardio-respiratory interaction in patients with obstructive sleep apnea syndrome
dc.typeConference paper
pubs.publication-statusPublished

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