A fractional-order approach to cardiac rhythm analysis
Diana J. Templos-Hernández,
Luis A. Quezada-Téllez,
Brian M. González-Hernández,
Gerardo Rojas-Vite,
José E. Pineda-Sánchez,
Guillermo Fernández-Anaya and
Erika E. Rodriguez-Torres
Chaos, Solitons & Fractals, 2021, vol. 147, issue C
Abstract:
In this research, fractional dynamics has been incorporated into a nonlinear model of three coupled oscillators to capture cardiac behavior more closely. We observe that in the case of the rhythms associated with a normal heart, the fractional orders are close to 1. For the spider-fearful individuals, fractional dynamics were incorporated into each oscillator. It might be due to that fear is a motivational state induced by specific stimuli which give rise to escape or defensive behavior. Meanwhile, in the cardiac rhythms associated with hypertensive participants, only the first oscillator, sinoatrial node, has fractional dynamic. This may have physiological relevance if we consider that hypertension is, first at all a risk factor for cardiovascular diseases. Second at all, hyperkinetic circulation is orchestrated by the sinoatrial node, in interaction with the autonomic nervous system, which leads to cardiac muscle hypertrophy. Our results show that electrocardiogram (ECG waveforms) can be simulated when various physiological conditions occur in the human heart, which is why the proposed model may find applications in clinical practice.
Keywords: Fractional-order delayed differential equation; Fractional calculus; Predictor-corrector scheme; Electrocardiogram (search for similar items in EconPapers)
Date: 2021
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (1)
Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S0960077921002964
Full text for ScienceDirect subscribers only
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:eee:chsofr:v:147:y:2021:i:c:s0960077921002964
DOI: 10.1016/j.chaos.2021.110942
Access Statistics for this article
Chaos, Solitons & Fractals is currently edited by Stefano Boccaletti and Stelios Bekiros
More articles in Chaos, Solitons & Fractals from Elsevier
Bibliographic data for series maintained by Thayer, Thomas R. ().