Literature DB >> 24219142

On the preprocessing of atrial electrograms in atrial fibrillation: understanding Botteron's approach.

Francisco Castells1, Raquel Cervigón, José Millet.   

Abstract

BACKGROUND: The dominant atrial frequency is a key parameter for the analysis of atrial fibrillation (AF) from intracardiac recordings. The preprocessing approach employed by Botteron et al. in an early work is able to retrieve this frequency. The preprocessing steps are: (1) 40-250-Hz band-pass filtering, (2) rectification, and (3) 20 Hz low-pass filtering. METHODS AND
RESULTS: The theoretical aspects of this process are addressed. Moreover, its time-domain and frequency-domain properties are evaluated using both simulations and real electrogram (EGM) recordings. The fundamental frequency is emphasized, due to the rectification step. As the interval between consecutive activations becomes more irregular, fundamental frequency detection becomes less robust. In the case of fractionated EGM, this approach fails. In time-domain, the waveform of the atrial beats are dramatically modified, hence hindering any further analysis on the morphology of the activations.
CONCLUSIONS: Botteron preprocessing succeeds in estimating the dominant atrial rate in most EGMs during AF. However, this approach presents some limitations and improved methods are required. ©2013, The Authors. Journal compilation ©2013 Wiley Periodicals, Inc.

Entities:  

Keywords:  atrial fibrillation; biomedical engineering; data analysis; electrophysiology - clinical

Mesh:

Year:  2013        PMID: 24219142     DOI: 10.1111/pace.12288

Source DB:  PubMed          Journal:  Pacing Clin Electrophysiol        ISSN: 0147-8389            Impact factor:   1.976


  5 in total

Review 1.  Anti-arrhythmic strategies for atrial fibrillation: The role of computational modeling in discovery, development, and optimization.

Authors:  Eleonora Grandi; Mary M Maleckar
Journal:  Pharmacol Ther       Date:  2016-09-06       Impact factor: 12.310

2.  Non-Invasive Estimation Of Left Atrial Dominant Frequency In Atrial Fibrillation From Different Electrode Sites: Insight From Body Surface Potential Mapping.

Authors:  Marjan Bojarnejad; James R Blake; John Bourke; Ewan Shepherd; Alan Murray; Philip Langley
Journal:  J Atr Fibrillation       Date:  2014-10-31

3.  Rotor Tracking Using Phase of Electrograms Recorded During Atrial Fibrillation.

Authors:  Caroline H Roney; Chris D Cantwell; Norman A Qureshi; Rasheda A Chowdhury; Emmanuel Dupont; Phang Boon Lim; Edward J Vigmond; Jennifer H Tweedy; Fu Siong Ng; Nicholas S Peters
Journal:  Ann Biomed Eng       Date:  2016-12-05       Impact factor: 3.934

4.  Granger Causality and Jensen-Shannon Divergence to Determine Dominant Atrial Area in Atrial Fibrillation.

Authors:  Raquel Cervigón; Francisco Castells; José Manuel Gómez-Pulido; Julián Pérez-Villacastín; Javier Moreno
Journal:  Entropy (Basel)       Date:  2018-01-12       Impact factor: 2.524

5.  Several insights into the preprocessing of electrograms in atrial fibrillation for dominant frequency analysis.

Authors:  Wenhai Li; Cuiwei Yang; Yanlei Wang; Dexi Wang; Ying Chen; Zhong Wu
Journal:  Biomed Eng Online       Date:  2016-04-12       Impact factor: 2.819

  5 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.