Skip to main content

Lund University Publications

LUND UNIVERSITY LIBRARIES

Tilt-Induced Changes in RR Series Characteristics : An AV Node Simulation Study

Plappert, Felix LU ; Wallman, Mikael ; Platonov, Pyotr G. LU ; Ostenson, Sten and Sandberg, Frida LU (2022) 2022 Computing in Cardiology, CinC 2022 In Computing in Cardiology 2022-September.
Abstract

In the ECG recordings during tilt test, changes in RR series characteristics can be observed. The purpose of the present study is to investigate to what extent these changes can be explained by changes in the atrial input and in the atrioventricular (AV) nodal characteristics induced by the autonomic nervous system (ANS). Average RR series characteristics (mean, rmssd and sample entropy) and average atrial fibrillatory rate (AFR) were obtained from 24 patients during supine, head-down tilt (HDT), and head-up tilt (HUT). Simulations were performed using an AV node model consisting of a network of interacting node; each node with a refractory period (R) and conduction delay (D) dependent on the stimulation history. In an extension to the... (More)

In the ECG recordings during tilt test, changes in RR series characteristics can be observed. The purpose of the present study is to investigate to what extent these changes can be explained by changes in the atrial input and in the atrioventricular (AV) nodal characteristics induced by the autonomic nervous system (ANS). Average RR series characteristics (mean, rmssd and sample entropy) and average atrial fibrillatory rate (AFR) were obtained from 24 patients during supine, head-down tilt (HDT), and head-up tilt (HUT). Simulations were performed using an AV node model consisting of a network of interacting node; each node with a refractory period (R) and conduction delay (D) dependent on the stimulation history. In an extension to the AV node model, R and D were scaled to account for ANS induced changes and simulations were performed with the original and extended model, respectively. The atrial impulse series entering the AV node was modelled as a point process with time-varying mean and std determined by the AFR. The clinical RR mean, RR rmssd and RR sample entropy decreased from supine to HDT and decreased further from HDT to HUT. Simulation results indicate that the model must account for ANS-induced changes to replicate the observed response in RR series characteristics, while alterations in the atrial input alone are insufficient to replicate the response.

(Less)
Please use this url to cite or link to this publication:
author
; ; ; and
organization
publishing date
type
Chapter in Book/Report/Conference proceeding
publication status
published
subject
host publication
2022 Computing in Cardiology, CinC 2022
series title
Computing in Cardiology
volume
2022-September
publisher
IEEE - Institute of Electrical and Electronics Engineers Inc.
conference name
2022 Computing in Cardiology, CinC 2022
conference location
Tampere, Finland
conference dates
2022-09-04 - 2022-09-07
external identifiers
  • scopus:85152941740
ISSN
2325-887X
2325-8861
ISBN
9798350310139
9798350300970
DOI
10.22489/CinC.2022.081
project
Ph.D. project: Diagnostic Biomarkers in Atrial Fibrillation - Autonomic Nervous System Induced Modulation as a Sign of Disease Progression
Diagnostic Biomarkers in Atrial Fibrillation - Autonomic Nervous System Response as a Sign of Disease Progression
language
English
LU publication?
yes
additional info
Publisher Copyright: © 2022 Creative Commons.
id
49decb2f-98ee-4562-8de0-84378649132d
date added to LUP
2023-05-03 11:51:55
date last changed
2024-04-05 18:53:29
@inproceedings{49decb2f-98ee-4562-8de0-84378649132d,
  abstract     = {{<p>In the ECG recordings during tilt test, changes in RR series characteristics can be observed. The purpose of the present study is to investigate to what extent these changes can be explained by changes in the atrial input and in the atrioventricular (AV) nodal characteristics induced by the autonomic nervous system (ANS). Average RR series characteristics (mean, rmssd and sample entropy) and average atrial fibrillatory rate (AFR) were obtained from 24 patients during supine, head-down tilt (HDT), and head-up tilt (HUT). Simulations were performed using an AV node model consisting of a network of interacting node; each node with a refractory period (R) and conduction delay (D) dependent on the stimulation history. In an extension to the AV node model, R and D were scaled to account for ANS induced changes and simulations were performed with the original and extended model, respectively. The atrial impulse series entering the AV node was modelled as a point process with time-varying mean and std determined by the AFR. The clinical RR mean, RR rmssd and RR sample entropy decreased from supine to HDT and decreased further from HDT to HUT. Simulation results indicate that the model must account for ANS-induced changes to replicate the observed response in RR series characteristics, while alterations in the atrial input alone are insufficient to replicate the response.</p>}},
  author       = {{Plappert, Felix and Wallman, Mikael and Platonov, Pyotr G. and Ostenson, Sten and Sandberg, Frida}},
  booktitle    = {{2022 Computing in Cardiology, CinC 2022}},
  isbn         = {{9798350310139}},
  issn         = {{2325-887X}},
  language     = {{eng}},
  publisher    = {{IEEE - Institute of Electrical and Electronics Engineers Inc.}},
  series       = {{Computing in Cardiology}},
  title        = {{Tilt-Induced Changes in RR Series Characteristics : An AV Node Simulation Study}},
  url          = {{http://dx.doi.org/10.22489/CinC.2022.081}},
  doi          = {{10.22489/CinC.2022.081}},
  volume       = {{2022-September}},
  year         = {{2022}},
}