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
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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.
S
Almeida, R., M. D. Ortigueira, AG Batista, and P. Ktonas.
"
Sleep Spindles: Decomposition, Parameterization and Applications
."
19th IEEE Conference on Signal Processing and Communications Applications
. 2011.
T
Ozer, Ezgi, Ozan Kocadagli, and Arnaldo Batista.
"
Time-Frequency Analysis of the EEG Signals: Visual Identification of Epileptic Patterns
."
y-BIS Conference
. Mimar Sinan Fien Arts University/ Findikli Campus, 2019.
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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
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