Advanced search
Start date
Betweenand

Atrial substrate identification in patients with chronic atrial fibrillation using multivariate statistical models and multiple attributes from atrial electrograms.

Grant number: 17/00319-8
Support type:Scholarships in Brazil - Post-Doctorate
Effective date (Start): July 01, 2017
Effective date (End): December 31, 2019
Field of knowledge:Engineering - Biomedical Engineering - Medical Engineering
Principal researcher:Takashi Yoneyama
Grantee:Tiago Paggi de Almeida
Home Institution: Divisão de Engenharia Eletrônica (IEE). Instituto Tecnológico de Aeronáutica (ITA). Ministério da Defesa (Brasil). São José dos Campos , SP, Brazil
Associated scholarship(s):18/02251-4 - Characterizing persistent atrial fibrillation dynamics using computational models and recurrence quantification analysis - towards novel biomarkers for guiding therapy, BE.EP.PD

Abstract

Atrial fibrillation (AF) is the most common sustained arrhythmia found in the clinical practice and is one of the main causes of stroke. It is known that the pulmonary veins (PVs) participate in AF initiation and perpetuation, and the PV isolation (PVI) performed by radiofrequency catheter ablation is effective in the therapy of the paroxysmal form of AF. PVI, however, is insufficient for persistent AF (persAF) therapy due to its complex underlying pathophysiology. Atrial regions hosting electrograms with fractionated activity (CFAEs) have been introduced as possible targets for persAF ablation, but inconsistent results have led to intense debate on the efficacy of CFAE-guided ablation as therapy for persAF.Consequently, the development of efficient methods for persAF treatment is of great interestfor both clinical and scientific community. More specifically, the precise identification ofatrial tissues responsible for the perpetuation of this arrhythmia is crucial for the developmentof new persAF ablative therapy. Recent studies have shown that not all atrial electrogram (AEG) fractionation correlates with AF perpetuation. However, these investigations have considered few, if not only one, attribute measured from the AEGs, which can be a limiting factor when investigating complex phenomenon such as AF. The present work will i) investigate multiple attributes measured from AEGs collected from persAF patients todiscriminate different types of AEG fractionation and; ii) correlate those AEGs with the underlying mechanisms of AF perpetuation using multivariate statistical models.

Scientific publications (7)
(References retrieved automatically from Web of Science and SciELO through information on FAPESP grants and their corresponding numbers as mentioned in the publications by the authors)
ALMEIDA, TIAGO P.; SORIANO, DIOGO C.; MASE, MICHELA; RAVELLI, FLAVIA; BEZERRA, ARTHUR S.; LI, XIN; CHU, GAVIN S.; SALINET, JOAO; STAFFORD, PETER J.; NG, G. ANDRE; SCHLINDWEIN, FERNANDO S.; YONEYAMA, TAKASHI. Unsupervised Classification of Atrial Electrograms for Electroanatomic Mapping of Human Persistent Atrial Fibrillation. IEEE Transactions on Biomedical Engineering, v. 68, n. 4, p. 1131-1141, APR 2021. Web of Science Citations: 1.
LI, XIN; CHU, GAVIN S.; ALMEIDA, TIAGO P.; VANHEUSDEN, FREDERIQUE J.; SALINET, JOAO; DASTAGIR, NAWSHIN; MISTRY, AMAR R.; VALI, ZAKARIYYA; SIDHU, BHARAT; STAFFORD, PETER J.; SCHLINDWEIN, FERNANDO S.; NG, G. ANDRE. Automatic Extraction of Recurrent Patterns of High Dominant Frequency Mapping During Human Persistent Atrial Fibrillation. FRONTIERS IN PHYSIOLOGY, v. 12, MAR 12 2021. Web of Science Citations: 0.
LUONGO, GIORGIO; SCHULER, STEFFEN; LUIK, ARMIN; ALMEIDA, TIAGO P.; SORIANO, DIOGO C.; DOSSEL, OLAF; LOEWE, AXEL. Non-Invasive Characterization of Atrial Flutter Mechanisms Using Recurrence Quantification Analysis on the ECG: A Computational Study. IEEE Transactions on Biomedical Engineering, v. 68, n. 3, p. 914-925, MAR 2021. Web of Science Citations: 0.
GODINHO, FABIO; FIM NETO, ARNALDO; BIANQUETI, BRUNO LEONARDO; DE LUCCAS, JULIA BALDI; VARJAO, EDUARDO; TERZIAN FILHO, PAULO ROBERTO; FIGUEIREDO, EBERVAL GADELHA; ALMEIDA, TIAGO PAGGI; YONEYAMA, TAKASHI; TAKAHATA, ANDRE KAZUO; ROCHA, MARIA SHEILA; SORIANO, DIOGO COUTINHO. Spectral characteristics of subthalamic nucleus local field potentials in Parkinson's disease: Phenotype and movement matter. European Journal of Neuroscience, FEB 2021. Web of Science Citations: 0.
LI, XIN; ALMEIDA, TIAGO P.; DASTAGIR, NAWSHIN; GUILLEM, MARIA S.; SALINET, JOAO; CHU, GAVIN S.; STAFFORD, PETER J.; SCHLINDWEIN, FERNANDO S.; NG, G. ANDRE. Standardizing Single-Frame Phase Singularity Identification Algorithms and Parameters in Phase Mapping During Human Atrial Fibrillation. FRONTIERS IN PHYSIOLOGY, v. 11, JUL 21 2020. Web of Science Citations: 0.
ALMEIDA, TIAGO P.; SCHLINDWEIN, FERNANDO S.; SALINET, JOAO; LI, XIN; CHU, GAVIN S.; TUAN, JIUN H.; STAFFORD, PETER J.; NG, G. ANDRE; SORIANO, DIOGO C. Characterization of human persistent atrial fibrillation electrograms using recurrence quantification analysis. Chaos, v. 28, n. 8 AUG 2018. Web of Science Citations: 4.
TIAGO PAGGI DE ALMEIDA; FERNANDO SOARES SCHLINDWEIN; JOÃO SALINET; XIN LI; GAVIN SHEN-WEI CHU; JIUN HAUR TUAN; PETER JAMES STAFFORD; G ANDRÉ NG; DIOGO COUTINHO SORIANO. The temporal stability of recurrence quantification analysis attributes from chronic atrial fibrillation electrograms. Res. Biomed. Eng., v. 34, n. 4, p. 337-349, Out. 2018.

Please report errors in scientific publications list by writing to: cdi@fapesp.br.