Arnaldo Manuel Guimarães Batista

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Emailagbfct.unlpt

DEE - Departamento de Engenharia Electrotécnica e de Computadores
Faculdade de Ciências e Tecnologia/UNL
Edifício X
Campus de Caparica
2829-516 Caparica
Portugal

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Research interests

Biomedical Signal Processing

Uterine Signal Processing

Vibration Analysis

Wavelets

Time-Frequency Methods

EEG and ECG Processing

Education/Academic qualification

Biophysics, Doctorate, University of Sussex

Award Date: 1 Jan 1996

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17 Article
13 Conference contribution
1 Chapter
1 Conference article
More
- 1 Review article
- 1 Working paper

Preictal phase detection on EEG signals using hybridized machine learning classifiers with a novel feature selection procedure based GAs and ICOMP
Kocadagli, O., Ozer, E. & Batista, A. G., Feb 2023, In: Expert Systems with Applications. 212, 11 p., 118825.
Research output: Contribution to journal › Article › peer-review
Adaptive Filtering for the Maternal Respiration Signal Attenuation in the Uterine Electromyogram
Martins, D., Batista, A., Mouriño, H., Russo, S., Esgalhado, F., dos Reis, C. R. P., Serrano, F. & Ortigueira, M., Oct 2022, In: Sensors. 22, 19, 26 p., 7638.
Research output: Contribution to journal › Article › peer-review

Open Access
File
5 Downloads (Pure)
A Preliminary Exploration of the Placental Position Influence on Uterine Electromyography Using Fractional Modelling
Şan, M., Batista, A., Russo, S., Esgalhado, F., Dos Reis, C. R. P., Serrano, F. & Ortigueira, M., 1 Mar 2022, In: Sensors. 22, 5, 1704.
Research output: Contribution to journal › Article › peer-review

Open Access
File
16 Downloads (Pure)
Electrohysterography extracted features dependency on anthropometric and pregnancy factors
Almeida, M., Mouriño, H., Batista, A. G., Russo, S., Esgalhado, F., dos Reis, C. R. P., Serrano, F. & Ortigueira, M., May 2022, In: Biomedical Signal Processing and Control. 75, 103556.
Research output: Contribution to journal › Article › peer-review
2 Citations (Scopus)
On the Feasibility of Real-Time HRV Estimation Using Overly Noisy PPG Signals
Esgalhado, F., Vassilenko, V., Batista, A. & Ortigueira, M., 6 Dec 2022, In: Computers. 11, 12, 9 p., 177.
Research output: Contribution to journal › Article › peer-review

Open Access
File
5 Downloads (Pure)

Arnaldo Manuel Guimarães Batista

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Preictal phase detection on EEG signals using hybridized machine learning classifiers with a novel feature selection procedure based GAs and ICOMP

Adaptive Filtering for the Maternal Respiration Signal Attenuation in the Uterine Electromyogram

A Preliminary Exploration of the Placental Position Influence on Uterine Electromyography Using Fractional Modelling

Electrohysterography extracted features dependency on anthropometric and pregnancy factors

On the Feasibility of Real-Time HRV Estimation Using Overly Noisy PPG Signals

Arnaldo Manuel Guimarães Batista

Personal profile

Research interests

Education/Academic qualification

Fingerprint

Network

Research output

Preictal phase detection on EEG signals using hybridized machine learning classifiers with a novel feature selection procedure based GAs and ICOMP

Adaptive Filtering for the Maternal Respiration Signal Attenuation in the Uterine Electromyogram

A Preliminary Exploration of the Placental Position Influence on Uterine Electromyography Using Fractional Modelling

Electrohysterography extracted features dependency on anthropometric and pregnancy factors

On the Feasibility of Real-Time HRV Estimation Using Overly Noisy PPG Signals