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Filipa Esgalhado
Filipa Esgalhado
Unknown affiliation
Verified email at campus.fct.unl.pt
Title
Cited by
Cited by
Year
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
152020
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
112020
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
82021
Alvarez waves in pregnancy: a comprehensive review
S Russo, A Batista, F Esgalhado, CR Palma dos Reis, F Serrano, ...
Biophysical Reviews 13 (4), 563-574, 2021
52021
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
52021
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
32022
Electrohysterography extracted features dependency on anthropometric and pregnancy factors
M Almeida, H Mouriño, AG Batista, S Russo, F Esgalhado, CRP dos Reis, ...
Biomedical Signal Processing and Control 75, 103556, 2022
22022
Improvements on Signal Processing Algorithm for the VOPITB Equipment
FE Cardoso, V Vassilenko, A Batista, P Bonifácio, SR Martin, ...
Doctoral Conference on Computing, Electrical and Industrial Systems, 324-330, 2021
22021
Real-Time PPG-Based HRV Implementation Using Deep Learning and Simulink
F Esgalhado, A Batista, V Vassilenko, M Ortigueira
Doctoral Conference on Computing, Electrical and Industrial Systems, 103-111, 2022
12022
Uterine contractions clustering based on surface electromyography: an input for pregnancy monitoring
FEOG Cardoso
12018
On the Feasibility of Real-Time HRV Estimation Using Overly Noisy PPG Signals
F Esgalhado, V Vassilenko, A Batista, M Ortigueira
Computers 11 (12), 177, 2022
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
2022
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
2022
Idle Tone Detection in Biomedical Signals Using Time-Frequency Techniques.
FE Cardoso, A Batista, V Vassilenko, A Serrano, MD Ortigueira
DoCEIS, 445-453, 2020
2020
Automatic Contraction Detection Using Uterine Electromyography
AG Batista, H Mouriño, V Vassilenko, F Esgalhado, F Serrano, ...
Applied Sciences, 2020
2020
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