Analysis of the Atrial Signals Based on a Novel Complex Network
Baodan Bai, Boyu Si
Available Online June 2017.
- https://doi.org/10.2991/caai-17.2017.114How to use a DOI?
- atrial fibrillation; complex networt; atrial vulnerability; phase synchronization
- 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.
- Open Access
- This is an open access article distributed under the CC BY-NC license.
Cite this article
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 - 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 - https://doi.org/10.2991/caai-17.2017.114 ID - Bai2017/06 ER -