Citi, L and Valenza, G and Purdon, PL and Brown, EN and Barbieri, R (2012) Monitoring heartbeat nonlinear dynamics during general anesthesia by using the instantaneous dominant Lyapunov exponent. 2012 Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 288. pp. 3124-3127. DOI https://doi.org/10.1109/embc.2012.6346626
Citi, L and Valenza, G and Purdon, PL and Brown, EN and Barbieri, R (2012) Monitoring heartbeat nonlinear dynamics during general anesthesia by using the instantaneous dominant Lyapunov exponent. 2012 Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 288. pp. 3124-3127. DOI https://doi.org/10.1109/embc.2012.6346626
Citi, L and Valenza, G and Purdon, PL and Brown, EN and Barbieri, R (2012) Monitoring heartbeat nonlinear dynamics during general anesthesia by using the instantaneous dominant Lyapunov exponent. 2012 Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 288. pp. 3124-3127. DOI https://doi.org/10.1109/embc.2012.6346626
Abstract
We present a novel methodology for instantaneous estimation of quantitative correlates of depth of Anesthesia from noninvasive electrocardiographic recordings. The analysis is based on a point process model of heartbeat dynamics that allows for continuous tracking of linear and nonlinear HRV indices, including a novel instantaneous assessment of the Lyapunov Spectrum by using a cubic autoregressive formulation. The effective estimation of the model parameters is ensured by the Laguerre expansion of the Wiener-Volterra kernels along with the maximum local log-likelihood procedure. We apply the proposed assessment to experimental recordings from healthy subjects during propofol anesthesia. The new assessment reveals novel time-varying complex heartbeat dynamics that underlie the quasi-periodic heartbeat fluctuations elicited by the sympatho-vagal balance. Results suggest that such quantification provides important information which is independent from the standard autonomic assessment and significantly correlated with loss of consciousness. Further investigation will focus on evolving our mathematical approach towards a promising monitoring tool for an accurate, noninvasive assessment of general anesthesia. © 2012 IEEE.
Item Type: | Article |
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Uncontrolled Keywords: | Humans; Anesthesia, General; Heart Rate; Algorithms; Nonlinear Dynamics; Female; Male |
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: | 13 Mar 2014 10:07 |
Last Modified: | 12 Sep 2024 17:52 |
URI: | http://repository.essex.ac.uk/id/eprint/8810 |