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
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Publications
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Conference Paper
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.
João, Costa, Ortigueira Manuel, Batista Arnaldo, and Paiva Teresa.
"
Threshold choice for automatic spindle detection
."
IWSSIP 2012: 19th International Conference on Systems, Signals and Image Processing
. 2012.
Conference Proceedings
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.
Journal Article
João, Costa, Ortigueira Manuel, Batista Arnaldo, and Paiva Teresa.
"
An Automatic Sleep Spindle Detector based on WT, STFT and WMSD
."
Proceedings Of World Academy Of Science, Engineering And Technology (2070-3740)
. 68 (2012): 2154-2157.
João, Costa, Ortigueira Manuel, and Batista Arnaldo.
"
K-means Clustering for Sleep Spindles Classification
."
International Journal of Information Technology & Computer Science (2091-1610)
. 10 (2013): 77-85.
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.
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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