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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João, Costa, Ortigueira Manuel, and Batista Arnaldo.
"
Short Time Fourier Transform and Automatic Visual Scoring for the Detection of Sleep Spindles
."
3rd IFIP/SOCOLNET Doctoral Conference on Computing, Electrical and Industrial Systems
. 372, 2012.
Ortigueira, MD; Batista; AG.
"
A signal processing view of differintegration
."
2001 European Control Conference (ECC)
. iEEE, 2001.
João, Costa, Ortigueira Manuel, Batista Arnaldo, and Paiva Teresa.
"
Sleep Spindles Detection: a Mixed Method using STFT and WMSD
."
International Journal Of Bioelectromagnetism (1456-7857)
. 14 (2012): 229-233.
João, Costa, Ortigueira Manuel, Batista Arnaldo, and Paiva Teresa
Sleep Spindles detection: series and parallel combination of algorithm
. 9th IMA International Conference on Mathematics in Signal Processing., 2012.
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.
Arnaldo, Batista;.
"
Sleep Spindles:Decomposition, Parameterization and Applications
."
SIU 2011 IEEE19
. Antalya: IEEE, 2011.
Batista, Arnaldo, and André Pereira
Software Development for the Detection and Characterization of Rail Corrugation
. Workshop on Railway Track Dynamics. Caparica Campus, 2017.
Software Development
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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
more