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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Esgalhado, F., A. Batista, V. Vassilenko, and M. Ortigueira.
"
Real-Time PPG-Based HRV Implementation Using Deep Learning and Simulink
."
Technological Innovation for Digitalization and Virtualization
. Springer, Cham., 2022.
Gomes, R., AG Batista, and M. D. Ortigueira.
"
Railscan: A Tool for the Detection and Quantification of Rail Corrugation
."
Doctoral Conference on Computing, Electrical and Industrial Systems
. EMERGING TRENDS IN TECHNOLOGICAL INNOVATION Book Series, 2010.
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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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