Linear and nonlinear quantification of respiratory sinus arrhythmia during propofol general anesthesia
Name
Chen-2009-Linear and nonlinear quantification of respiratory sinus arrhythmia during propofol general anesthesia.pdf
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Author(s)
Pierce, Eric T.
Harrell, P. Grace
Walsh, John
Salazar, Andres F.
Tavares, Casie L.
Chen, Zhe
Purdon, Patrick Lee
Brown, Emery Neal
Barbieri, Riccardo
Alternative Title
Linear and Nonlinear Quantification of Respiratory Sinus Arrhythmia during Propofol General Anesthesia
Date Issued
November 2009
Journal
Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2009
Publisher
Institute of Electrical and Electronics Engineers
Citation
Zhe Chen et al. “Linear and nonlinear quantification of respiratory sinus arrhythmia during propofol general anesthesia.” Engineering in Medicine and Biology Society, 2009. EMBC 2009. Annual International Conference of the IEEE. 2009. 5336-5339. © 2009 IEEE
Version
Final published version
Abstract
Quantitative evaluation of respiratory sinus arrhythmia (RSA) may provide important information in clinical practice of anesthesia and postoperative care. In this paper, we apply a point process method to assess dynamic RSA during propofol general anesthesia. Specifically, an inverse Gaussian probability distribution is used to model the heartbeat interval, whereas the instantaneous mean is identified by a linear or bilinear bivariate regression on the previous R-R intervals and respiratory measures. The estimated second-order bilinear interaction allows us to evaluate the nonlinear component of the RSA. The instantaneous RSA gain and phase can be estimated with an adaptive point process filter. The algorithm's ability to track non-stationary dynamics is demonstrated using one clinical recording. Our proposed statistical indices provide a valuable quantitative assessment of instantaneous cardiorespiratory control and heart rate variability (HRV) during general anesthesia.
MIT Department
Massachusetts Institute of Technology. Department of Brain and Cognitive Sciences
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Article is made available in accordance with the publisher's policy and may be subject to US copyright law. Please refer to the publisher's site for terms of use.
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DOI of Published Version
https://doi.org/10.1109/IEMBS.2009.5332693
