Next Article in Journal
Dose Reduction in Coronary Artery Calcium Scoring Using Mono-Energetic Images from Reduced Tube Voltage Dual-Source Photon-Counting CT Data: A Dynamic Phantom Study
Previous Article in Journal
Prognostic Role of 2-[18F]FDG PET/CT Metabolic Volume Parameters in Patients Affected by Differentiated Thyroid Carcinoma with High Thyroglobulin Level, Negative 131I WBS and Positive 2-[18F]-FDG PET/CT
 
 
Font Type:
Arial Georgia Verdana
Font Size:
Aa Aa Aa
Line Spacing:
Column Width:
Background:
Case Report

Visualization of Complex Processes in Cardiovascular System during Electrical Auricular Vagus Nerve Stimulation

by
Vaiva Šiaučiūnaitė
1,*,
Minvydas Ragulskis
1,*,
Alfonsas Vainoras
2,
Babak Dabiri
3 and
Eugenijus Kaniusas
3
1
Department of Mathematical Modelling, Kaunas University of Technology, 51368 Kaunas, Lithuania
2
Cardiology Institute, Lithuanian University of Health Sciences, 44307 Kaunas, Lithuania
3
Institute of Electrodynamics, Microwave and Circuit Engineering, Vienna University of Technology, 1040 Vienna, Austria
*
Authors to whom correspondence should be addressed.
Diagnostics 2021, 11(12), 2190; https://doi.org/10.3390/diagnostics11122190
Submission received: 30 October 2021 / Revised: 17 November 2021 / Accepted: 21 November 2021 / Published: 25 November 2021
(This article belongs to the Topic Artificial Intelligence in Healthcare)

Abstract

The analysis of human physiological systems from the point of view of complex systems theory remains a very ambitious task. The complexity of the problem often encourages the use of innovative mathematical methods analyzing the processes that take place in space and time. The main goal of this paper is to visualize the cardiovascular system during auricular vagus nerve stimulation (aVNS) using the matrix differences to evaluate the dynamic signal interfaces by cointegrating the initial signal data into the matrices during each case. Algebraic relationships between RR/JT and JT/QRS cardiac intervals are used not only to track the cardiovascular changes during aVNS but also to characterize individual features of the person during the transit through the therapy. This paper presents the computational techniques that can visualize the complex dynamical processes taking place in the cardiovascular system using the electrical aVNS therapy. Four healthy volunteers participated in two verum and two placebo experiments. We discovered that the body’s reaction to the stimulation was very different in each of the cases, but the presented techniques opened new possibilities for a novel interpretation of the dynamics of the cardiovascular system.
Keywords: auricular vagus nerve stimulation; electrocardiography; cardiac intervals auricular vagus nerve stimulation; electrocardiography; cardiac intervals

Share and Cite

MDPI and ACS Style

Šiaučiūnaitė, V.; Ragulskis, M.; Vainoras, A.; Dabiri, B.; Kaniusas, E. Visualization of Complex Processes in Cardiovascular System during Electrical Auricular Vagus Nerve Stimulation. Diagnostics 2021, 11, 2190. https://doi.org/10.3390/diagnostics11122190

AMA Style

Šiaučiūnaitė V, Ragulskis M, Vainoras A, Dabiri B, Kaniusas E. Visualization of Complex Processes in Cardiovascular System during Electrical Auricular Vagus Nerve Stimulation. Diagnostics. 2021; 11(12):2190. https://doi.org/10.3390/diagnostics11122190

Chicago/Turabian Style

Šiaučiūnaitė, Vaiva, Minvydas Ragulskis, Alfonsas Vainoras, Babak Dabiri, and Eugenijus Kaniusas. 2021. "Visualization of Complex Processes in Cardiovascular System during Electrical Auricular Vagus Nerve Stimulation" Diagnostics 11, no. 12: 2190. https://doi.org/10.3390/diagnostics11122190

APA Style

Šiaučiūnaitė, V., Ragulskis, M., Vainoras, A., Dabiri, B., & Kaniusas, E. (2021). Visualization of Complex Processes in Cardiovascular System during Electrical Auricular Vagus Nerve Stimulation. Diagnostics, 11(12), 2190. https://doi.org/10.3390/diagnostics11122190

Note that from the first issue of 2016, this journal uses article numbers instead of page numbers. See further details here.

Article Metrics

Back to TopTop