Linear and non-linear parameters for the classification of atrial fibrillation episodes from Intra-Atrial signals

Luca T. Mainardi, G. Calcagnini, A. Porta, F. Censi, P. Bartolini, S. Cerutti

Research output: Chapter in Book/Report/Conference proceedingConference contribution

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 languageEnglish
Title of host publicationComputers in Cardiology
PublisherIEEE
Pages691-694
Number of pages4
Publication statusPublished - 1999
EventThe 26th Annual Meeting: Computers in Cardiology 1999 - Hannover, Ger
Duration: Sep 26 1999Sep 29 1999

Other

OtherThe 26th Annual Meeting: Computers in Cardiology 1999
CityHannover, Ger
Period9/26/999/29/99

ASJC Scopus subject areas

  • Software
  • Cardiology and Cardiovascular Medicine

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