Personal information

Other IDs

Scopus Author ID: 57190163483
SciProfiles: 1097620

Countries

Argentina

Biography

Antonio Quintero-Rincón is a research professor at the Catholic University of Argentina (UCA) and consultant in brain sciences and machine learning. He was a researcher professor and head researcher at CITeS laboratory (Innovation Center for Health Technologies) at Buenos Aires Institute of Technology (ITBA) from the Bioengineering Department for 13 years. He received his MSc from the National University of La Plata (UNLP) in 2015 and a Ph.D. in engineering from ITBA in 2019. Also was a postdoctoral fellow researcher at the Foundation for the Fight against Pediatric Neurological Disease (FLENI) in Argentina, and in the Laboratory of Technological Research in Pattern Recognition (LITRP) at the Catholic University of the Maule in Chile. His research interests include issues related to EEG signal processing, pattern recognition, signal detection, neuroscience, machine learning, and statistical modeling.

Activities

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Employment (4)

Pontificia Universidad Católica Argentina: Buenos Aires, AR

2020-07-01 to present | Researcher professor (Computer Science, and Data Science.)
Employment
Source: Self-asserted source
Antonio Quintero-Rincon

Foundation for the Fight against Pediatric Neurological Disease (FLENI): Buenos Aires, AR

2019-09-01 to 2021-09-01 | Postdoctoral fellow researcher (Epilepsy )
Employment
Source: Self-asserted source
Antonio Quintero-Rincon

Buenos Aires Institute of Technology: Buenos Aires, AR

2013-01-01 to 2019-09-30 | Researcher professor (Bioengineering )
Employment
Source: Self-asserted source
Antonio Quintero-Rincon

Buenos Aires Institute of Technology: Buenos Aires, AR

2007-02-01 to 2013-12-31 | Researcher and Lecturer (Electronic)
Employment
Source: Self-asserted source
Antonio Quintero-Rincon

Education and qualifications (2)

Instituto Tecnológico de Buenos Aires: Buenos Aires, Buenos Aires, AR

2014-01-01 to 2019-03-14 | PhD in engineering (Research)
Education
Source: Self-asserted source
Antonio Quintero-Rincon

Universidad Nacional de la Plata: La Plata, La Plata, AR

2012-01-01 to 2015-11-09 | Master in Psychology of Music (Fine Arts)
Qualification
Source: Self-asserted source
Antonio Quintero-Rincon

Professional activities (5)

Catholic University of the Maule: Talca, Maule, CL

2022-05-01 to present | Guest researcher (Pattern recognition) (Laboratory of Technological Research in Pattern Recognition (LITRP))
Invited position
Source: Self-asserted source
Antonio Quintero-Rincon

Institut de Recherche en Informatique de Toulouse: Toulouse, Occitanie, FR

2020-03-01 to 2020-08-31 | Guess researcher (Signals and image)
Invited position
Source: Self-asserted source
Antonio Quintero-Rincon

Institut de Recherche en Informatique de Toulouse: Toulouse, Occitanie, FR

2016-05-01 to 2016-06-30 | Guess researcher (Signals and image)
Invited position
Source: Self-asserted source
Antonio Quintero-Rincon

University of Bristol: Bristol, Bristol, GB

2014-08-01 to 2014-08-31 | Guess researcher (School of mathematics )
Invited position
Source: Self-asserted source
Antonio Quintero-Rincon

Institut de Recherche en Informatique de Toulouse: Toulouse, Occitanie, FR

2014-06-01 to 2014-07-31 | Guess researcher (Signals and image)
Invited position
Source: Self-asserted source
Antonio Quintero-Rincon

Works (20)

Raspberries-LITRP Database: RGB Images Database for the Industrial Applications of Red Raspberries’ Automatic Quality Estimation

Applied Sciences
2022-11-15 | Journal article
DOI: 10.3390/app122211586
Contributors: Antonio Quintero Rincón; Marco Mora; Jose Naranjo-Torres; Claudio Fredes; Andrés Valenzuela
Source: check_circle
Crossref
grade
Preferred source (of 2)‎

Analyse statistique robuste et apprentissage profond à partir de séquences spectrales d’EEG pour la détection de somnolence

Conférence Internationale Francophone sur la Science des Données (CIFSD)
2021 | Conference paper
Source: Self-asserted source
Antonio Quintero-Rincon

Artefacts detection in EEG signals

Advances in Signal Processing: Reviews Book Series Vol.2
2021-03-16 | Book chapter
Source: Self-asserted source
Antonio Quintero-Rincon

Statistical Model-Based Classification to Detect Patient-Specific Spike-and-Wave in EEG Signals

2020-10-29 | Preprint
DOI: 10.20944/preprints202010.0616.v1
Contributors: Antonio Quintero Rincón; Hadj Batatia; Jorge Prende; Valeria Muro; Carlos D'Giano
Source: check_circle
Crossref
grade
Preferred source (of 2)‎

Statistical Model-Based Classification to Detect Patient-Specific Spike-and-Wave in EEG Signals

Computers
2020-10-29 | Journal article
DOI: 10.3390/computers9040085
Contributors: Antonio Quintero-Rincón; Valeria Muro; Carlos D’Giano; Jorge Prendes; Hadj Batatia
Source: check_circle
Crossref
grade
Preferred source (of 2)‎

Hand Bone Conduction Sound Study by Using the DSP Logger MX 300

Revista Argentina de Bioingeniería
2020-05-13 | Conference paper
Source: Self-asserted source
Antonio Quintero-Rincon

Epilepsy seizure onset detection applying 1-NN classifier based on statistical parameters

2018 IEEE Biennial Congress of Argentina, ARGENCON 2018
2019 | Conference paper
DOI: 10.1109/ARGENCON.2018.8646234
EID:

2-s2.0-85063544743
Contributors: Zorgno, I.; Blanc, M.C.; Oxenford, S.; Garbagnoli, F.G.; Drgiano, C.; Quintero-Rincon, A.
Source: Self-asserted source
Antonio Quintero-Rincon via Scopus - Elsevier

Epileptic Seizure Detection Using a Convolutional Neural Network

Digital Health Approach for Predictive, Preventive, Personalised and Participatory Medicine
2019 | Book chapter
Source: Self-asserted source
Antonio Quintero-Rincon

Seizure Onset Detection in EEG Signals Based on Entropy from Generalized Gaussian PDF Modeling and Ensemble Bagging Classifier

Digital Health Approach for Predictive, Preventive, Personalised and Participatory Medicine
2019 | Book chapter
Source: Self-asserted source
Antonio Quintero-Rincon

Spike-and-wave epileptiform discharge pattern detection based on Kendall's Tau-b coefficient

Applied Medical Informatics
2019 | Journal article
Source: Self-asserted source
Antonio Quintero-Rincon

Study on epileptic seizure detection in EEG signals using largest Lyapunov exponents and logistic regression

Revista Argentina de Bioingenieŕıa
2019 | Journal article
Source: Self-asserted source
Antonio Quintero-Rincon

A quadratic linear-parabolic model-based classification to detect epileptic EEG seizures

The Journal of Biomedical Research
2019-08-28 | Journal article
Source: Self-asserted source
Antonio Quintero-Rincon

Epileptic seizure prediction using Pearson's product-moment correlation coefficient of a linear classifier from generalized Gaussian modeling,Predicción de crisis epilépticas utilizando el coeficiente de correlación producto-momento de Pearson a partir de un clasificador lineal de la distribución Gaussiana generalizada

Neurologia Argentina
2018 | Journal article
DOI: 10.1016/j.neuarg.2018.06.004
EID:

2-s2.0-85052728313
Contributors: Quintero-Rincón, A.; D'Giano, C.; Risk, M.
Source: Self-asserted source
Antonio Quintero-Rincon via Scopus - Elsevier

Fast statistical model-based classification of epileptic EEG signals

Biocybernetics and Biomedical Engineering
2018 | Journal article
DOI: 10.1016/j.bbe.2018.08.002
EID:

2-s2.0-85052519495
Contributors: Quintero-Rincón, A.; Pereyra, M.; D'Giano, C.; Risk, M.; Batatia, H.
Source: Self-asserted source
Antonio Quintero-Rincon via Scopus - Elsevier

Real-time detection of imminent ventricular fibrillation using mean and standard deviation of beat-to-beat HRV

Revista Argentina de Bioingenieŕıa
2018 | Journal article
Source: Self-asserted source
Antonio Quintero-Rincon

Spike-and-Wave detection in epileptic signals using cross-correlation and decision trees

Revista Argentina de Bioingenieŕıa
2018 | Journal article
Source: Self-asserted source
Antonio Quintero-Rincon

A visual EEG epilepsy detection method based on a wavelet statistical representation and the Kullback-Leibler divergence

IFMBE Proceedings
2017 | Conference paper
DOI: 10.1007/978-981-10-4086-3_4
EID:

2-s2.0-85018412707
Contributors: Quintero-Rincón, A.; Pereyra, M.; D’Giano, C.; Batatia, H.; Risk, M.
Source: Self-asserted source
Antonio Quintero-Rincon via Scopus - Elsevier

Study on spike-and-wave detection in epileptic signals using T-location-scale distribution and the K-nearest neighbors classifier

2017 IEEE URUCON, URUCON 2017
2017 | Conference paper
DOI: 10.1109/URUCON.2017.8171869
EID:

2-s2.0-85046970504
Contributors: Quintero-Rincon, A.; Prendes, J.; Muro, V.; D'Giano, C.
Source: Self-asserted source
Antonio Quintero-Rincon via Scopus - Elsevier

A new algorithm for epilepsy seizure onset detection and spread estimation from EEG signals

Journal of Physics: Conference Series
2016 | Conference paper
DOI: 10.1088/1742-6596/705/1/012032
EID:

2-s2.0-84978110952
Contributors: Quintero-Rincón, A.; Pereyra, M.; D'Giano, C.; Batatia, H.; Risk, M.
Source: Self-asserted source
Antonio Quintero-Rincon via Scopus - Elsevier

Multivariate Bayesian classification of epilepsy EEG signals

2016 IEEE 12th Image, Video, and Multidimensional Signal Processing Workshop, IVMSP 2016
2016 | Conference paper
DOI: 10.1109/IVMSPW.2016.7528180
EID:

2-s2.0-84991785907
Contributors: Quintero-Rincón, A.; Prendes, J.; Pereyra, M.; Batatia, H.; Risk, M.
Source: Self-asserted source
Antonio Quintero-Rincon via Scopus - Elsevier

Peer review (3 reviews for 2 publications/grants)

Review activity for Digital signal processing. (1)
Review activity for Heliyon. (2)
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