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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2011
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.
2010
Cardoso, E., AG Batista, R. Rodrigues, and M. D. Ortigueira.
"
A Contribution for the Automatic Sleep Classification Based on the Itakura-Saito Spectral Distance
."
1st IFIP Doctoral Conference on Computing, Electrical and Industrial Systems
. EMERGING TRENDS IN TECHNOLOGICAL INNOVATION Book Series, 2010.
Nascimento, B., AG Batista, L. B. Alves, and M. D. Ortigueira.
"
MicroECG: An Integrated Platform for the Cardiac Arrythmia Detection and Characterization
."
EMERGING TRENDS IN TECHNOLOGICAL INNOVATION Book Series
. IFIP Advances in Information and Communication Technology, 2010.
Gomes, R., AG Batista, and M. D. Ortigueira.
"
Railscan: A Tool for the Detection and Quantification of Rail Corrugation
."
Doctoral Conference on Computing, Electrical and Industrial Systems
. EMERGING TRENDS IN TECHNOLOGICAL INNOVATION Book Series, 2010.
2008
Batista, AG
Electrocardiografia de Alta-Resolução: Evolução e Estado da Arte
. Sessões Temáticas em Cardiopneumologia. Associação Portuguesa de Cardiopnemologistas, 2008.
Rato, R. T., M. D. Ortigueira, and AG Batista.
"
The EMD and its Use to Identify System Modes
."
Proceedings of the International Workshop on New Trends in Science and Technology
. 2008.
Rato, R. T., M. D. Ortigueira, and AG Batista.
"
The Empirical Mode Decomposition: A Useful Tool for Signal Analysis
."
New Signal Processing Research
.2008 (2008).
Rato, R. T., M. D. Ortigueira, and AG Batista.
"
The Empirical Mode Decomposition: A Useful Tool for Signal Analysis
."
New Signal Processing Research
. New York: Nova Science Publishers , 2008.
Rato, R. T., M. D. Ortigueira, and AG Batista.
"
On the HHT, its problems, and some solutions
."
Mechanical Systems and Signal Processing
.22 (2008): 1374-1394.
Ortigueira, M. D., and AG Batista.
"
On the relation between the fractional Brownian motion and the fractional derivatives
."
Physics Letters
. A.372 (2008): 958-968.
2007
Ortigueira, M. D., and AG Batista.
"
A new look at the fractional Brownian motion definition
."
Conference on Multibody Systems, Nonlinear Dynamics and Control (MSNDC)
. ASME IDETC07, 2007.
2006
Bigan, C., Besleaga; M, M. Zervakis, K. Michalopoulos, M. Woolfson, M. Ortigueira, A. Batista, R. Rato, M. Righi, U. Barcaro, A. Starita, Kenneth P. Camilleri, Simon G. Fabri, J. Muscat, and Tracey A. Camilleri
EEG signal pre-processing for segmentation into significant regions, major artefacts removal, and uncertainty reduction in epileptic seizure characterization
. BIOPATTERN Brain. Göteborg: Neoventor Medicinsk Innovation AB, 2006.
Ortigueira, M. D., and AG Batista.
"
On the fractional derivative of stationary stochastic processes
."
CST2006 & ECT2006 Conferences
. 2006.
2005
I, Pinto, Alves L, Ortiguera M, and A. Batista.
"
ECG Wave Detection and Delineation with Wavelets
."
Computational Intelligence in Medicine and Healthcare Conference . Biopattern
. 2005.
2004
Ortigueira, M. D., and AG Batista.
"
A Fractional Linear System View of the Fractional Brownian Motion
."
Nonlinear Dynamics
.38 (2004): 295-303.
2001
Batista, AG, J. M. Rodrigues, and M. D. Ortigueira.
"
Time-Frequency and Time-Scale Characterisation of the Beat-by-Beat High-Resolution Electrocardiogram
."
Sixth Portuguese Conference on Biomedical Engineering Proceedings
. 2001.
1998
Batista, AG, and MJ English.
"
"Ventricular Late Potential Analysis with Musical and Harmonic Wavelets
."
Medical Engineering and Physics
. 20.10 (1998): 773-779.
1996
Batista, AG, and MJ English.
"
A Multiresolution Wavelet Method for Charaterization of Ventricular Late Potentials
."
Computers in Cardiology
. 1996.
1990
Batista, AG.
"
Programmable Cardiac Simulator
."
2nd Portuguese Congress of Biomedical Engineering
. 1990.
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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