Abstract
In this study, linear and non-linear indexes for the characterization of the dynamics in both Intra-Atrial (IA) signals and Atrial Period (AP) series are presented and used to discriminate among different Atrial Fibrillation (AF) episodes. The Level of Predictability (LP) of AP series and its Regularity (R) were computed through the identification of an autoregressive model of the AP series and through the estimation of Corrected Conditional Entropy (CCE), respectively. In addition Non-Linear Synchronization (NLS) patterns were analyzed through indexes based on the Mutual Corrected Conditional Entropy (MCCE). Results evidence the capability of the proposed parameters to detected and quantify the different dynamics of IA signals during different type of AF episodes.
Original language | English |
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Title of host publication | Computers in Cardiology |
Publisher | IEEE |
Pages | 691-694 |
Number of pages | 4 |
Publication status | Published - 1999 |
Event | The 26th Annual Meeting: Computers in Cardiology 1999 - Hannover, Ger Duration: Sep 26 1999 → Sep 29 1999 |
Other
Other | The 26th Annual Meeting: Computers in Cardiology 1999 |
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City | Hannover, Ger |
Period | 9/26/99 → 9/29/99 |
ASJC Scopus subject areas
- Software
- Cardiology and Cardiovascular Medicine