Advanced search
Start date
Betweenand

Tiago Paggi de Almeida

CV Lattes GoogleMyCitations ORCID


Ministério da Defesa (Brasil). Instituto Tecnológico de Aeronáutica (ITA). Divisão de Engenharia Eletrônica (IEE)  (Institutional affiliation for the last research proposal)
Birthplace: Brazil

My main research interests are biomedical engineering, digital signal processing and modelling of biological signals, cardiac electrophysiology, analysis of cardiac recordings, and multivariate statistical analysis. I have dedicated myself to bridging the gap between signal processing methods, biomedical engineering and industrial processes. During my career, I have introduced and implemented an artificial intelligence protocol at Johnson & Johnson for the price prediction of raw materials to be purchased annually; applied blind source separation techniques to isolate single motor unit activities from surface electromyographic signals; investigated pattern recognition methods in intracardiac signals during heart rhythm disturbances; and applied innovative statistical multivariate statistical models to help in the therapy of cardiac disorders. The main findings of my PhD studies have been published in one of the most prominent journals of Biomedical Engineering and resulted in a clinical pilot study currently being conducted at Glenfield Hospital (Leicester, UK), under my leadership, which will improve our understanding of a cardiac arrhythmia. I have published 6 works in renowned international Journals, more than 30 works in international conferences and concluded 3 supervisions. I currently hold my second postdoctoral position, supervising 4 ongoing investigations. I am currently leading investigations in novel methods to help in the detection and therapy of cardiac arrhythmias. (Source: Lattes Curriculum)

News published in Agência FAPESP Newsletter about the researcher
Articles published in other media outlets (0 total):
More itemsLess items
VEICULO: TITULO (DATA)
VEICULO: TITULO (DATA)
Scholarships in Brazil
Scholarships abroad
FAPESP support in numbers * Updated September 11, 2021
Total / Available in English
Most frequent collaborators in research granted by FAPESP
Contact researcher

Use this Research Supported by FAPESP (BV/FAPESP) channel only to send messages referring to FAPESP-funded scientific projects.


 

 

 

 

Keywords used by the researcher
Scientific publications resulting from Research Grants and Scholarships under the grantee's responsibility (3)

(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)

Publications6
Citations6
Cit./Article1.0
Data from Web of Science

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, . Web of Science Citations: 0. (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, . Web of Science Citations: 1. (19/09512-0, 18/14285-0, 13/07559-3, 18/14283-8, 18/02251-4, 17/00319-8)

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, . (17/00319-8, 15/12799-9)

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, . Web of Science Citations: 1. (19/05192-1, 15/12799-9, 18/02251-4, 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, . Web of Science Citations: 4. (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, . Web of Science Citations: 0. (17/00319-8)

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, . Web of Science Citations: 0. (17/00319-8)

Please report errors in researcher information by writing to: cdi@fapesp.br.
X

Report errors in this page


Error details: