Nardelli, Mimma and Citi, Luca and Barbieri, Riccardo and Valenza, Gaetano (2023) Characterization of autonomic states by complex sympathetic and parasympathetic dynamics. Physiological Measurement, 44 (3). 035004-035004. DOI https://doi.org/10.1088/1361-6579/acbc07
Nardelli, Mimma and Citi, Luca and Barbieri, Riccardo and Valenza, Gaetano (2023) Characterization of autonomic states by complex sympathetic and parasympathetic dynamics. Physiological Measurement, 44 (3). 035004-035004. DOI https://doi.org/10.1088/1361-6579/acbc07
Nardelli, Mimma and Citi, Luca and Barbieri, Riccardo and Valenza, Gaetano (2023) Characterization of autonomic states by complex sympathetic and parasympathetic dynamics. Physiological Measurement, 44 (3). 035004-035004. DOI https://doi.org/10.1088/1361-6579/acbc07
Abstract
Assessment of heartbeat dynamics provides a promising framework for non-invasive monitoring of cardiovascular and autonomic states. Nevertheless, the non-specificity of such measurements among clinical populations and healthy conditions associated with different autonomic states severely limits their applicability and exploitation in naturalistic conditions. This limitation arises specially when pathological or postural change-related sympathetic hyperactivity is compared to autonomic changes across age and experimental conditions. In this frame, we investigate the intrinsic irregularity and complexity of cardiac sympathetic and vagal activity series in different populations, which are associated with different cardiac autonomic dynamics. Sample entropy, fuzzy entropy, and distribution entropy are calculated on the recently proposed sympathetic and parasympathetic activity indices (SAI and PAI) series, which are derived from publicly available heartbeat series of congestive heart failure patients, elderly and young subjects watching a movie in the supine position, and healthy subjects undergoing slow postural changes. Results show statistically significant differences between pathological/old subjects and young subjects in the resting state and during slow tilt, with interesting trends in SAI- and PAI-related entropy values. Moreover, while CHF patients and healthy subjects in upright position show the higher cardiac sympathetic activity, elderly and young subjects in resting state showed higher vagal activity. We conclude that quantification of intrinsic cardiac complexity from sympathetic and vagal dynamics may provide new physiology insights and improve on the non-specificity of heartbeat-derived biomarkers.
Item Type: | Article |
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Uncontrolled Keywords: | autonomic nervous system, heart rate variability (HRV), parasympathetic activity index, sympathetic activity index, sympathovagal balance, congestive heart failure (CHF), entropy |
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: | 22 Mar 2023 15:33 |
Last Modified: | 30 Oct 2024 20:56 |
URI: | http://repository.essex.ac.uk/id/eprint/34976 |
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