Zhe Chen and Citi, L and Purdon, PL and Brown, EN and Barbieri, R (2011) Instantaneous assessment of autonomic cardiovascular control during general anesthesia. 2011 Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2011. pp. 8444-8447. DOI https://doi.org/10.1109/iembs.2011.6092083
Zhe Chen and Citi, L and Purdon, PL and Brown, EN and Barbieri, R (2011) Instantaneous assessment of autonomic cardiovascular control during general anesthesia. 2011 Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2011. pp. 8444-8447. DOI https://doi.org/10.1109/iembs.2011.6092083
Zhe Chen and Citi, L and Purdon, PL and Brown, EN and Barbieri, R (2011) Instantaneous assessment of autonomic cardiovascular control during general anesthesia. 2011 Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2011. pp. 8444-8447. DOI https://doi.org/10.1109/iembs.2011.6092083
Abstract
We present a comprehensive probabilistic point process framework to estimate and monitor the instantaneous heartbeat dynamics as related to specific cardiovascular control mechanisms and hemodynamics. Assessment of the model's statistics is established through the Wiener-Volterra theory and a multivariate autoregressive (AR) structure. A variety of instantaneous cardiovascular metrics, such as heart rate (HR), heart rate variability (HRV), respiratory sinus arrhythmia (RSA), and baroreceptor-cardiac reflex (BRS), can be rigorously derived within a parametric framework and instantaneously updated with an adaptive algorithm. Instantaneous metrics of nonlinearity, such as the bispectrum of heartbeat intervals, can also be derived. We have applied the proposed point process framework to experimental recordings from healthy subjects in order to monitor cardiovascular regulation under propofol anesthesia. Results reveal interesting dynamic trends across different pharmacological interventions, confirming the ability of the algorithm to track important changes in cardiorespiratory elicited interactions, and pointing at our mathematical approach as a promising monitoring tool for an accurate, noninvasive assessment of general anesthesia. © 2011 IEEE.
Item Type: | Article |
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Uncontrolled Keywords: | Autonomic Nervous System; Humans; Propofol; Anesthesia, General; Heart Rate; Models, Cardiovascular; Young Adult |
Subjects: | Q Science > QA Mathematics > QA75 Electronic computers. Computer science R Medicine > R Medicine (General) |
Divisions: | Faculty of Science and Health Faculty of Science and Health > Computer Science and Electronic Engineering, School of |
SWORD Depositor: | Unnamed user with email elements@essex.ac.uk |
Depositing User: | Unnamed user with email elements@essex.ac.uk |
Date Deposited: | 27 Mar 2014 10:25 |
Last Modified: | 05 Dec 2024 18:55 |
URI: | http://repository.essex.ac.uk/id/eprint/8798 |