Please use this identifier to cite or link to this item:
https://hdl.handle.net/2440/71320
Type: | Conference paper |
Title: | Quantification of cardio-respiratory interactions in patients with mild obstructive sleep apnea syndrome using joint symbolic dynamics |
Author: | Kabir, M. Dimitri, H. Sanders, P. Antic, R. Abbott, D. Baumert, M. |
Citation: | Computing in Cardiology, 2011; 38:41-44 |
Publisher: | IEEE |
Publisher Place: | online |
Issue Date: | 2011 |
Series/Report no.: | Computing in Cardiology Conference |
ISBN: | 9781457706127 |
ISSN: | 2325-8861 2325-887X |
Conference Name: | Computing in Cardiology (2011 : Hangzhou, China) |
Editor: | Murray, A. |
Statement of Responsibility: | Muammar M. Kabir, Hany Dimitri, Prashanthan Sanders, Ral Antic, Derek Abbott and Mathias Baumert |
Abstract: | The aim of this paper was to study interactions between R-R intervals and respiratory phases in patients with mild obstructive sleep apnea syndrome (OSAS) during night-time sleep using a technique based on joint symbolic dynamics. We investigated overnight polysomnography data in 123 OSAS patients. The R-R time series were extracted from electrocardiograms (ECG) and respiratory phases were obtained from abdominal displacement sensors using the Hilbert transform. 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 cardiorespiratory interaction. We found a significantly higher percentage of similarity in the symbolic dynamics of R-R intervals and respiratory phases during slow-wave (SW) sleep compared to any other sleep stage (slow-wave vs. stage 1, stage 2 and rapid-eye-movement sleep: 20.9±4.7 vs. 15.5±4.2, 17.0±4.1 and 13.4±2.6, p<0.0001, respectively). In conclusion, joint symbolic dynamics provides an efficient technique for the analysis of cardiorespiratory interaction during sleep. |
Description: | Computing in Cardiology 2011, 18-21 September 2011, Zhejiang University, Hangzhou, China |
Rights: | Articles in this volume are copyright (C) 2011 by their respective authors, and are licensed by their authors under the Creative Commons Attribution License 2.5 (CCAL). |
Grant ID: | http://purl.org/au-research/grants/arc/DP0663345 http://purl.org/au-research/grants/arc/DP0663345 |
Description (link): | http://www.cinc.org/archives/2011/ |
Published version: | http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=6164497&tag=1 |
Appears in Collections: | Aurora harvest 5 Electrical and Electronic Engineering publications |
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File | Description | Size | Format | |
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hdl_71320.pdf | Published version | 206.66 kB | Adobe PDF | View/Open |
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