Unsupervised Classification of Atrial Electrograms for Electroanatomic Mapping of Human Persistent Atrial Fibrillation-Reference-Cited by-同舟云学术

Unsupervised Classification of Atrial Electrograms for Electroanatomic Mapping of Human Persistent Atrial Fibrillation

Published:2021-04 Issue:4 Volume:68 Page:1131-1141
ISSN:0018-9294
Container-title:IEEE Transactions on Biomedical Engineering
language:
Short-container-title:IEEE Trans. Biomed. Eng.

Author:

Almeida Tiago P.^ORCID,Soriano Diogo C.^ORCID,Mase Michela^ORCID,Ravelli Flavia,Bezerra Arthur S.^ORCID,Li Xin^ORCID,Chu Gavin S.,Salinet Joao^ORCID,Stafford Peter J.,Andre Ng G.,Schlindwein Fernando S.^ORCID,Yoneyama Takashi^ORCID

Funder

National Institute for Health Research

Fundação de Amparo à Pesquisa do Estado de São Paulo

BHF

Conselho Nacional de Desenvolvimento Científico e Tecnológico

Fondazione Cassa Di Risparmio Di Trento E Rovereto

MRC UK

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Biomedical Engineering

Link

http://xplorestaging.ieee.org/ielx7/10/9381734/09186302.pdf?arnumber=9186302

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1. Systematic in-silico evaluation of fibrosis effects on re-entrant wave dynamics in atrial tissue;Scientific Reports;2024-05-19

2. Overcoming Uncertainties in Electrogram-Based Atrial Fibrillation Mapping: A Review;Cardiovascular Engineering and Technology;2023-11-14

3. Primer on Machine Learning in Electrophysiology;Arrhythmia & Electrophysiology Review;2023-03-28

4. Quantifying a spectrum of clinical response in atrial tachyarrhythmias using spatiotemporal synchronization of electrograms;Europace;2023-03-18

5. A Divergence-Based Approach for the Identification of Atrial Fibrillation Focal Drivers From Multipolar Mapping: A Computational Study;Frontiers in Physiology;2021-12-24