Analysis of the Atrial Signals Based on a Novel Complex Network

DOI

10.2991/caai-17.2017.114How to use a DOI?

Keywords

atrial fibrillation; complex networt; atrial vulnerability; phase synchronization

Abstract

Atrial fibrillation (AF) is one of the most common arrhythmia in clinical, which is the major cause of embolic events and stroke, resulting in an important morbidity and mortality. The mechanisms leading to AF are still under extensive research. In this study, we present a novel complex network approach to analysis the dynamics of the heart during the whole AF process (before the AF to end of the AF). Three canine models of acute AF were designed and the common parameters of the novel complex network were used to investigate the method. The results show that the novel complex network parameter can not only detect the AF, but also can estimate the vulnerability of atrial fibrillation effectively.

Copyright

© 2017, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - CONF
AU  - Baodan Bai
AU  - Boyu Si
PY  - 2017/06
DA  - 2017/06
TI  - Analysis of the Atrial Signals Based on a Novel Complex Network
BT  - Proceedings of the 2017 2nd International Conference on Control, Automation and Artificial Intelligence (CAAI 2017)
PB  - Atlantis Press
SP  - 508
EP  - 511
SN  - 1951-6851
UR  - https://doi.org/10.2991/caai-17.2017.114
DO  - 10.2991/caai-17.2017.114
ID  - Bai2017/06
ER  -