| The application of deep learning algorithms for ppg signal processing and classification F Esgalhado, B Fernandes, V Vassilenko, A Batista, S Russo Computers 10 (12), 158, 2021 | 26 | 2021 |
| Uterine contractions clustering based on electrohysterography F Esgalhado, AG Batista, H Mouriño, S Russo, CRP Dos Reis, F Serrano, ... Computers in Biology and Medicine 123, 103897, 2020 | 19 | 2020 |
| Automatic contraction detection using uterine electromyography F Esgalhado, AG Batista, H Mouriño, S Russo, CRP dos Reis, F Serrano, ... Applied Sciences 10 (20), 7014, 2020 | 18 | 2020 |
| Peak detection and HRV feature evaluation on ECG and PPG signals F Esgalhado, A Batista, V Vassilenko, S Russo, M Ortigueira Symmetry 14 (6), 1139, 2022 | 13 | 2022 |
| Electrohysterography extracted features dependency on anthropometric and pregnancy factors M Almeida, H Mourino, AG Batista, S Russo, F Esgalhado, CRP dos Reis, ... Biomedical Signal Processing and Control 75, 103556, 2022 | 9 | 2022 |
| Alvarez waves in pregnancy: a comprehensive review S Russo, A Batista, F Esgalhado, CR Palma dos Reis, F Serrano, ... Biophysical Reviews 13, 563-574, 2021 | 6 | 2021 |
| The contractiongram: A method for the visualization of uterine contraction evolution using the electrohysterogram AG Batista, R Cebola, F Esgalhado, S Russo, CRP dos Reis, F Serrano, ... Biomedical Signal Processing and Control 67, 102531, 2021 | 6 | 2021 |
| A Preliminary Exploration of the Placental Position Influence on Uterine Electromyography Using Fractional Modelling M Şan, A Batista, S Russo, F Esgalhado, CRP Dos Reis, F Serrano, ... Sensors 22 (5), 1704, 2022 | 4 | 2022 |
| Adaptive Filtering for the Maternal Respiration Signal Attenuation in the Uterine Electromyogram D Martins, A Batista, H Mouriño, S Russo, F Esgalhado, CRP Dos Reis, ... Sensors 22 (19), 7638, 2022 | 2 | 2022 |
| A Preliminary Design for a novel concept of Floating breakwater (… and WEC) S Russo, C Lugni, P Contestabile, D Vicinanza Proceedings of the 14th European Wave and Tidal Energy Conference ISSN 2309-1983, 2021 | 2 | 2021 |
| Operating and Extreme weather conditions for testing Offshore Devices at Marine Renewable Energy Lab (MaRELab) P Contestabile, S Russo, A Azzellino, F Cascetta, D Vicinanza Proceedings of the European Wave and Tidal Energy Conference 15, 2023 | 1 | 2023 |
| A Novel Hybrid Floating Breakwater-Wave Energy Converter Device: Preliminary Experimental Investigations S Russo, C Lugni, P Contestabile, D Vicinanza Proceedings of the European Wave and Tidal Energy Conference 15, 2023 | 1 | 2023 |
| A novel hybrid floating breakwater WEC device: preliminary experimental investigations S Russo, C Lugni, P Contestabile, D Vicinanza PROCEEDINGS OF THE 15TH EUROPEAN WAVE AND TIDAL ENERGY CONFERENCE, 3–7 …, 2023 | | 2023 |
| EFFICACIA DEL PARAPETTO SULLA RIDUZIONE DELLA TRACIMAZIONE A TERGO DEL DISPOSITIVO OBREC G Crispino, S Russo, P Contestabile, C Gisonni, D Vicinanza Atti del XXXVII Convegno Nazionale di Idraulica e Costruzioni Idrauliche, 2021 | | 2021 |
| The Application of Deep Learning Algorithms for PPG Signal Processing and Classification. Computers 2021, 10, 158 F Esgalhado, B Fernandes, V Vassilenko, A Batista, S Russo s Note: MDPI stays neutral with regard to jurisdictional claims in published …, 2021 | | 2021 |
| Do Estudo da Dose Efetiva em PET/CT à Proposta de DRL com Base em Cartas de Controlo SFM Russo Universidade Nova de Lisboa, 2017 | | 2017 |
| Experimental Investigation on a Draft Varying Floating Breakwater-Wave Energy Converter for Offshore Protection S Russo, P Contestabile, C Lugni, D Vicinanza Available at SSRN 4407713, 0 | | |
Arnaldo Guimarães BatistaFaculty of Sciences and Technology- Nova University of LisbonEmail confirmado em fct.unl.pt
