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

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

IRCCS Istituto Ortopedico Galeazzi

Research output: Chapter in Book/Report/Conference proceeding › Conference 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 language	English
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
City	Hannover, Ger
Period	9/26/99 → 9/29/99

ASJC Scopus subject areas

Software
Cardiology and Cardiovascular Medicine

Cite this

@inproceedings{0e1a9611e10d4c1a9babb842bcd17361,

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

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.",

author = "Mainardi, {Luca T.} and G. Calcagnini and A. Porta and F. Censi and P. Bartolini and S. Cerutti",

year = "1999",

language = "English",

pages = "691--694",

booktitle = "Computers in Cardiology",

publisher = "IEEE",

note = "The 26th Annual Meeting: Computers in Cardiology 1999 ; Conference date: 26-09-1999 Through 29-09-1999",

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TY - GEN

T1 - Linear and non-linear parameters for the classification of atrial fibrillation episodes from Intra-Atrial signals

AU - Mainardi, Luca T.

AU - Calcagnini, G.

AU - Porta, A.

AU - Censi, F.

AU - Bartolini, P.

AU - Cerutti, S.

PY - 1999

Y1 - 1999

N2 - 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.

AB - 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.

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M3 - Conference contribution

AN - SCOPUS:0033282577

SP - 691

EP - 694

BT - Computers in Cardiology

PB - IEEE

T2 - The 26th Annual Meeting: Computers in Cardiology 1999

Y2 - 26 September 1999 through 29 September 1999

ER -

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

Abstract

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ASJC Scopus subject areas

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