Advanced search
Start date

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 Opportunities: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 Investigator:Takashi Yoneyama
Grantee:Tiago Paggi de Almeida
Host 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


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 interest for both clinical and scientific community. More specifically, the precise identification of atrial tissues responsible for the perpetuation of this arrhythmia is crucial for the development of 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 to discriminate different types of AEG fractionation and; II) correlate those AEGs with the underlying mechanisms of AF perpetuation using multivariate statistical models. (AU)

News published in Agência FAPESP Newsletter about the scholarship:
Articles published in other media outlets (0 total):
More itemsLess items

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)
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, . (15/12799-9, 17/00319-8)
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, . (19/09512-0, 18/02251-4, 17/00319-8)
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; et al. Spectral characteristics of subthalamic nucleus local field potentials in Parkinson's disease: Phenotype and movement matter. European Journal of Neuroscience, v. 53, n. 8, . (19/09512-0, 18/14285-0, 13/07559-3, 18/14283-8, 18/02251-4, 17/00319-8)
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; et al. 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, . (18/02251-4, 15/12799-9, 17/00319-8, 19/05192-1)
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.; et al. Automatic Extraction of Recurrent Patterns of High Dominant Frequency Mapping During Human Persistent Atrial Fibrillation. FRONTIERS IN PHYSIOLOGY, v. 12, . (17/00319-8)
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, . (17/00319-8)
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, . (17/00319-8)

Please report errors in scientific publications list by writing to: