Arnaldo Guimarães Batista
Dept. of Electrical Engineering of the Faculty of Sciences of Technology of the Nova University of Lisbon
http://docentes.fct.unl.pt/agb
(email)
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Batista, Arnaldo, Nuno Barrento, Fernando Coito, and Manuel Ortigueira
Patent: Quantitative Process for the Rail Corrugation Spacial and Spectral Classification
. FCT-UNL, 2016.
Esgalhado, Filipa, Arnaldo Batista, Valentina Vassilenko, Sara Russo, and Manuel Ortigueira.
"
Peak Detection and HRV Feature Evaluation on ECG and PPG Signals
."
Symmetry
. 6.14 (2022).
Batista, Arnaldo
Pregnancy Monitoring Using Uterine Electromyography: The Uterine Explorer Toolbox
. Signal Processing and Monitoring in Labour (SPaM). Oxford, 2017.
Kocadagli, Ozan, Ezgi Ozer, and Arnaldo G. Batista.
"
Preictal phase detection on EEG signals using hybridized machine learning classifiers with a novel feature selection procedure based GAs and ICOMP
."
Expert Systems with Applications
(2022): 118825.
Şan, Mufit, Arnaldo Batista, Sara Russo, Filipa Esgalhado, Catarina Palma Reis, Fátima Serrano, and Manuel Ortigueira.
"
A Preliminary Exploration of the Placental Position Influence on Uterine Electromyography Using Fractional Modelling
."
Sensors
. 5.22 (2022).
Batista, AG.
"
Programmable Cardiac Simulator
."
2nd Portuguese Congress of Biomedical Engineering
. 1990.
Carvoeiras, P., M. J. Rodrigues, Batista A.G., and M. D. Ortigueira.
"
A Prototype software for the Diagnostic of Atrial fibrillation
."
XXIV Congresso Português de Cardiologia and Revista Portuguesa de Cardiologia
. Vol. III. 2003.
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Recent Publications
On the Feasibility of Real-Time HRV Estimation Using Overly Noisy PPG Signals
Time-Frequency Analysis of the EEG Signals: Visual Identification of Epileptic Patterns
A signal processing view of differintegration
EEG signal pre-processing for segmentation into significant regions, major artefacts removal, and uncertainty reduction in epileptic seizure characterization
Peak Detection and HRV Feature Evaluation on ECG and PPG Signals
A Preliminary Exploration of the Placental Position Influence on Uterine Electromyography Using Fractional Modelling
more