Assessment of Baroreflex Control of Heart Rate During General Anesthesia Point Process Method
Name
Chen-2009-Assessment of Baroreflex Control of Heart Rate During General Anesthesia Point Process Method.pdf
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Author(s)
Pierce, Eric T.
Harrell, P. Grace
Chen, Zhe
Purdon, Patrick Lee
Brown, Emery N.
Barbieri, Riccardo
Date Issued
May 2009
Journal
Proceedings of the IEEE International Conference on Acoustics, Speech and Signal Processing, 2009
Publisher
Institute of Electrical and Electronics Engineers
Citation
Zhe Chen et al. “Assessment of baroreflex control of heart rate during general anesthesia using a point process method.” Acoustics, Speech and Signal Processing, 2009. ICASSP 2009. IEEE International Conference on. 2009. 333-336. © 2009 IEEE
Version
Final published version
Abstract
Evaluation of baroreflex control of heart rate (HR) has important implications in clinical practice of anesthesia and postoperative care. In this paper, we present a point process method to assess the dynamic baroreflex gain using a closed-loop model of the cardiovascular system. Specifically, the 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 blood pressure (BP) measures. The instantaneous baroreflex gain is estimated in the feedback loop with a point process filter, while the RRrarrBP feedforward frequency response is estimated by a Kalman filter. In addition, the instantaneous cross-spectrum and cross-bispectrum (as well as their ratio) can also be estimated. All statistical indices provide a valuable quantitative assessment of the interaction between heartbeat dynamics and hemodynamics during general anesthesia.Zhe Chen et al. “Assessment of baroreflex control of heart rate during general anesthesia using a point process method.” Acoustics, Speech and Signal Processing, 2009. ICASSP 2009. IEEE International Conference on. 2009. 333-336. Web.
Subjects
Volterra series
adaptive filters
baroreflex control
bilinear systems
point processes
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/ICASSP.2009.4959588
