Valenza, Gaetano and Citi, Luca and Barbieri, Riccardo (2013) Instantaneous nonlinear assessment of complex cardiovascular dynamics by laguerre-volterra point process models. 2013 35th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), 2013. pp. 6131-6134. DOI https://doi.org/10.1109/embc.2013.6610952
Valenza, Gaetano and Citi, Luca and Barbieri, Riccardo (2013) Instantaneous nonlinear assessment of complex cardiovascular dynamics by laguerre-volterra point process models. 2013 35th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), 2013. pp. 6131-6134. DOI https://doi.org/10.1109/embc.2013.6610952
Valenza, Gaetano and Citi, Luca and Barbieri, Riccardo (2013) Instantaneous nonlinear assessment of complex cardiovascular dynamics by laguerre-volterra point process models. 2013 35th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), 2013. pp. 6131-6134. DOI https://doi.org/10.1109/embc.2013.6610952
Abstract
We report an exemplary study of instantaneous assessment of cardiovascular dynamics performed using point-process nonlinear models based on Laguerre expansion of the linear and nonlinear Wiener-Volterra kernels. As quantifiers, instantaneous measures such as high order spectral features and Lyapunov exponents can be estimated from a quadratic and cubic autoregressive formulation of the model first order moment, respectively. Here, these measures are evaluated on heartbeat series coming from 16 healthy subjects and 14 patients with Congestive Hearth Failure (CHF). Data were gathered from the on-line repository PhysioBank, which has been taken as landmark for testing nonlinear indices. Results show that the proposed nonlinear Laguerre-Volterra point-process methods are able to track the nonlinear and complex cardiovascular dynamics, distinguishing significantly between CHF and healthy heartbeat series. © 2013 IEEE.
Item Type: | Article |
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Uncontrolled Keywords: | Cardiovascular System; Humans; Stochastic Processes; Heart Rate; Algorithms; Nonlinear Dynamics; Models, Cardiovascular; Online Systems; Heart Failure |
Subjects: | T Technology > TK Electrical engineering. Electronics Nuclear engineering |
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: | 23 Jan 2015 12:38 |
Last Modified: | 30 Oct 2024 17:07 |
URI: | http://repository.essex.ac.uk/id/eprint/12343 |