Journal Articles
2017(1 publication)
[publication]Bruno Direito and Teixeira, C. and Sales, F. and Castelo-Branco, M. and António Dourado , "A Realistic Seizure Prediction Study Based on Multiclass SVM", International Journal of Neural Systems,  vol. 27,  pp. 1750006-1750006, 2017

2014(1 publication)
[publication]Teixeira, C. and Bruno Direito and Bandarabadi, M. and LeVanQuyen, M. and Valderrama, M. and Schelter, B. and Bonhage, A.S. and Navarro, V. and Sales, F. and António Dourado , "Epileptic seizure predictors based on computational intelligence techniques: A comparative study with 278 patients", Computer Methods and Programs in Biomedicine, 2014
[citation][year=2016]Zhang, Z. and Parhi, K.K., 2016. Low-complexity seizure prediction from iEEG/sEEG using spectral power and ratios of spectral power. IEEE transactions on biomedical circuits and systems, 10(3), pp.693-706.
[citation][year=2016]Brinkmann, B.H., Wagenaar, J., Abbot, D., Adkins, P., Bosshard, S.C., Chen, M., Tieng, Q.M., He, J., Muñoz-Almaraz, F.J., Botella-Rocamora, P. and Pardo, J., 2016. Crowdsourcing reproducible seizure forecasting in human and canine epilepsy. Brain, 139(6), pp.1713-1722.
[citation][year=2016]Lehnertz, K., Dickten, H., Porz, S., Helmstaedter, C. and Elger, C.E., 2016. Predictability of uncontrollable multifocal seizures–towards new treatment options. Scientific reports, 6.
[citation][year=2016]Ulate-Campos, A., Coughlin, F., Gaínza-Lein, M., Fernández, I.S., Pearl, P.L. and Loddenkemper, T., 2016. Automated seizure detection systems and their effectiveness for each type of seizure. Seizure, 40, pp.88-101.
[citation][year=2016]Satapathy, S.K., Dehuri, S. and Jagadev, A.K., 2016. An Empirical Analysis of Different Machine Learning Techniques for Classification of EEG Signal to Detect Epileptic Seizure. International Journal of Applied Engineering Research, 11(1), pp.120-129.
[citation][year=2015]Seizure prediction using polynomial SVM classification
Z Zhang, KK Parhi - … in Medicine and Biology Society (EMBC), …, 2015 - ieeexplore.ieee.org
Abstract—This paper presents a novel patient-specific algorithm for prediction of seizures in
epileptic patients with low hardware complexity and low power consumption. In the
proposed approach, we first compute the spectrogram of the input fragmented EEG ...
[citation][year=2015]Low-Complexity Seizure Prediction From iEEG/sEEG Using Spectral Power and Ratios of Spectral Power
Z Zhang, KK Parhi - 2015 - ieeexplore.ieee.org
EEG patterns are not wide-sense stationary and change from seizure to seizure, electrode to
electrode, and from patient to patient. This paper presents a novel patient-specific algorithm
for prediction of seizures in epileptic patients from either one or two single-channel or ...
[citation][year=2015]Transcranial Magnetic Stimulation Combined with EEG Reveals Covert States of Elevated Excitability in the Human Epileptic Brain
VK Kimiskidis, C Koutlis, A Tsimpiris… - … journal of neural …, 2015 - World Scientific
Background: Transcranial magnetic stimulation combined with electroencephalogram (TMS-
EEG) can be used to explore the dynamical state of neuronal networks. In patients with
epilepsy, TMS can induce epileptiform discharges (EDs) with a stochastic occurrence ...

2012(1 publication)
[publication]Bruno Direito and Teixeira, C. and Ribeiro, B. and Castelo-Branco, M. and Sales, F. and António Dourado , "Modeling epileptic brain states using EEG spectral analysis and topographic mapping", Journal of Neuroscience Methods, Elsevier,  pp. 220-229, 2012
[citation][year=2016]López, S., Gross, A., Yang, S., Golmohammadi, M., Obeid, I. and Picone, J., 2016, December. An analysis of two common reference points for EEGS. In Signal Processing in Medicine and Biology Symposium (SPMB), 2016 IEEE (pp. 1-5). IEEE.
[citation][year=2016]Ekmekçi, H.A., Y?lmaz, A.S., Öziç, M.Ü., Özbay, Y., Kerimo?lu, Ö.S., Çelik, Ç. and Öztürk, ?., 2016. Hyperemesis Gravidarum and Cerebral Electrophysiology Determination of Cerebral Localization through Electroencephalography Signal Processing. Turkish, p.73.
[citation][year=2016]Sharmila, A. and Geethanjali, P., 2016. DWT Based Detection of Epileptic Seizure From EEG Signals Using Naive Bayes and k-NN Classifiers. IEEE Access, 4, pp.7716-7727.
[citation][year=2016]Arabnia, H.R. and Tran, Q.N., 2016. Emerging Trends in Applications and Infrastructures for Computational Biology, Bioinformatics, and Systems Biology: Systems and Applications. Morgan Kaufmann.
[citation][year=2015]Li, Yuezhe, Yuchou Chang, and Hong Lin. "Cultivating Chan with Calibration." International Journal of Reliable and Quality E-Healthcare (IJRQEH) 4.4 (2015): 32-51.
[citation][year=2015]Neural Codes Characterizing Epileptic Brain States
M Guirgis - 2015 - tspace.library.utoronto.ca
Epilepsy is a dynamical disease and its effects are evident in over fifty million people
worldwide. For patients with medically intractable epilepsy, clinicians identify seizure onset
zones (SOZs) for resection in an attempt to localize the epileptogenic zone (EZ), which is ...
[citation][year=2015]Chow–Liu trees are sufficient predictive models for reproducing key features of functional networks of periictal EEG time-series
A Steimer, F Zubler, K Schindler - NeuroImage, 2015 - Elsevier
Abstract Seizure freedom in patients suffering from pharmacoresistant epilepsies is still not
achieved in 20–30% of all cases. Hence, current therapies need to be improved, based on a
more complete understanding of ictogenesis. In this respect, the analysis of functional ...
[citation][year=2014]Sriram Ramgopal, Sigride Thome-Souza, Michele Jackson, Navah Ester Kadish, Iván Sánchez Fernández, Jacquelyn Klehm, William Bosl, Claus Reinsberger, Steven Schachter, Tobias Loddenkemper, Seizure detection, seizure prediction, and closed-loop warning systems in epilepsy, Epilepsy & Behavior, Volume 37, August 2014, Pages 291-307
[citation][year=2014]Guirgis, Mirna, et al. "Classification of multiple seizure-like states in three different rodent models of epileptogenesis." Neural Systems and Rehabilitation Engineering, IEEE Transactions on 22.1 (2014): 21-32.
[citation][year=2014]Bernard, Christophe, et al. "Modern concepts of seizure modeling." Modern Concepts of Focal Epileptic Networks 114 (2014): 121-153.
[citation][year=2014]Han, Eun Young, et al. "Effects of Adjuvant Hydrotherapy on Functional Status and Mental Relaxation in Patients with Knee Osteoarthritis: Preliminary Study." Journal of the Korean Geriatrics Society 18.3 (2014): 153-161.
[citation][year=2013]Guirgis, Mirna, et al. "Classification of multiple seizure-like states in three different rodent models of epileptogenesis." (2013): 1-1.
[citation][year=2013]Classification of multiple seizure-like states in three different rodent models of epileptogenesis
M Guirgis, D Serletis, J Zhang, C Florez, J Dian… - 2013 - ieeexplore.ieee.org

2011(1 publication)
[publication]Teixeira, C. and Bruno Direito and Costa, R. and LeVanQuyen, M. and Schelter, B. and António Dourado , "EPILAB: A software package for studies on the prediction of epileptic seizures", Journal of Neuroscience Methods, 2011
[citation][year=2016]Gadhoumi, K., Lina, J.M., Mormann, F. and Gotman, J., 2016. Seizure prediction for therapeutic devices: A review. Journal of neuroscience methods, 260, pp.270-282.
[citation][year=2016]Behbahani, S., Dabanloo, N.J., Nasrabadi, A.M. and Dourado, A., 2016. Classification of ictal and seizure-free HRV signals with focus on lateralization of epilepsy. Technology and Health Care, 24(1), pp.43-56.
[citation][year=2016]Umut, ?., 2016. PSGMiner: a modular software for polysomnographic analysis. Computers in biology and medicine, 73, pp.1-9.
[citation][year=2016]Mader, M.A., 2016. Statistical Analysis of Processes with Application to Neurological Data (Doctoral dissertation, Dissertation, Albert-Ludwigs-Universität Freiburg, 2016).
[citation][year=2016]Lin, L.C., Chen, S.C.J., Chiang, C.T., Wu, H.C., Yang, R.C. and Ouyang, C.S., 2016. Classification Preictal and Interictal Stages via Integrating Interchannel and Time-Domain Analysis of EEG Features. Clinical EEG and neuroscience, p.1550059416649076.
[citation][year=2016]Behbahani, S., Dabanloo, N.J., Nasrabadi, A.M. and Dourado, A., 2016. Prediction of epileptic seizures based on heart rate variability. Technology and Health Care, (Preprint), pp.1-16.
Behbahani, S., Dabanloo, N.J., Nasrabadi, A.M. and Dourado, A., 2016. Gender-Related Differences in Heart Rate Variability of Epileptic Patients. American journal of men's health, p.1557988316638733.
[citation][year=2016]Supratak, A., Wu, C., Dong, H., Sun, K. and Guo, Y., 2016. Survey on Feature Extraction and Applications of Biosignals. In Machine Learning for Health Informatics (pp. 161-182). Springer International Publishing.
[citation][year=2015]Seizure prediction for therapeutic devices: a review
K Gadhoumi, JM Lina, F Mormann, J Gotman - Journal of neuroscience …, 2015 - Elsevier
Abstract Research in seizure prediction has come a long way since its debut almost 4 
decades ago. Early studies suffered methodological caveats leading to overoptimistic results 
and lack of statistical significance. The publication of guidelines addressing mainly the  ...
[citation][year=2015]Archiving and analysis of electroencephalograms in Ukrainian Grid: The first application
VO Gaidar, OO Sudakov - Intelligent Data Acquisition and …, 2015 - ieeexplore.ieee.org
Abstract—Distributed database and analysis tools for electroencephalography (EEG) data 
archiving and procession in Ukrainian Grid Infrastructure were proposed, implemented and 
applied for separation of signal sources. The database is being populated with human  ...
[citation][year=2014]Sriram Ramgopal, Sigride Thome-Souza, Michele Jackson, Navah Ester Kadish, Iván Sánchez Fernández, Jacquelyn Klehm, William Bosl, Claus Reinsberger, Steven Schachter, Tobias Loddenkemper, Seizure detection, seizure prediction, and closed-loop warning systems in epilepsy, Epilepsy & Behavior, Volume 37, August 2014, Pages 291-307
[citation][year=2014]Moghim, Negin, and David W. Corne. "Predicting Epileptic Seizures in Advance." PloS one 9.6 (2014): e99334.
[citation][year=2014]LIN, LUNG-CHANG, et al. "EARLY PREDICTION OF MEDICATION REFRACTORINESS IN CHILDREN WITH IDIOPATHIC EPILEPSY BASED ON SCALP EEG ANALYSIS." International journal of neural systems (2014).
[citation][year=2014]Sivasankari, K., and K. Thanushkodi. "Development of an Epileptic Seizure Detection Application based on Parallel Computing." International Journal of Engineering and Technology (2014).
[citation][year=2014]Lin, Lung-Chang, et al. "Early evaluation of the therapeutic effectiveness in children with epilepsy by quantitative EEG: A model of Mozart K. 448 listening—a preliminary study." Epilepsy research 108.8 (2014): 1417-1426.
[citation][year=2014]Sommerlade, Linda, et al. "Optimized spectral estimation for nonlinear synchronizing systems." Physical Review E 89.3 (2014): 032912.
[citation][year=2014]Boudet, Samuel, et al. "Dual Adaptive Filtering by Optimal Projection Applied to Filter Muscle Artifacts on EEG and Comparative Study." The Scientific World Journal 2014 (2014).
[citation][year=2013]Ge, Yan, et al. "Brain stimulation for treatment of refractory epilepsy." Chin Med J (Engl) 126 (2013): 3364-70.
[citation][year=2013]Cockfield, Jeremy, Kyungmin Su, and Kay A. Robbins. "MOBBED: a computational data infrastructure for handling large collections of event-rich time series datasets in MATLAB." Frontiers in neuroinformatics 7 (2013).
[citation][year=2013]Huberfeld, Gilles, et al. "The Paradox of the Paroxysm Can Seizure Precipitants Help Explain Human Ictogenesis?." The Neuroscientist 19.5 (2013): 523-540.
[citation][year=2012]Carreno-Perez, A., Aristizabal-Quintero, L., and Castellanos-Dominguez, C. Design of a Framework to generate applications oriented to biosignals processing. IEEE, 2012.
[citation][year=2012]Miguel, J. M., Boquete, L., Ortega, S., Cordero, C. A., Barea, R., and Blanco, R. mferg lab: Software for processing multifocal electroretinography signals. Computer Methods and Pro- grams in Biomedicine 108, 1 (10 2012), 377–387.
[citation][year=2012]Worrell, G. A., Jerbi, K., Kobayashi, K., Lina, J. M., Zelmann, R., and Le Van Quyen, M. Recording and analysis techniques for high-frequency oscillations. Progress in Neurobiology 98, 3 (9 2012), 265–278.

Conference Articles
2014(1 publication)
[publication]Bruno Direito and Teixeira, C. and Bandarabadi, M. and Sales, F. and António Dourado , "Automatic warning of epileptic seizures by SVM: the long road ahead to success", in 19th World Congress of the International Federation of Automatic Control, 2014

2013(3 publications)
[publication]Teixeira, C. and Bruno Direito and António Dourado and Gomes, M.d.P.C. and Loureiro, M.C. , "A phase lock loop (PLL) system for frequency variation tracking during general anesthesia", in 13th Mediterranean Conference on Medical and Biological Engineering (MEDICON 2013), 2013
[citation][year=2013]Wang, Jie, et al. "An ultrasound therapy system for hyperlipidemia prevention." Biomedical Engineering and Informatics (BMEI), 2013 6th International Conference on. IEEE, 2013.

[publication]Bruno Direito and Teixeira, C. and Ribeiro, B. and António Dourado and Gomes, M.d.P.C. and Loureiro, M.C. , "Spatial dynamics of the topographic representation of electroencephalogram spectral features during general anaesthesia", in 13th Mediterranean Conference on Medical and Biological Engineering (MEDICON 2013), 2013

[publication]Bruno Direito and Teixeira, C. and Sales, F. and Castelo-Branco, M. and António Dourado , "Influence of circadian rhythms on epileptic seizure predictors based on machine learning methods", in IFMBE International Conference on Health Informatics, 2013

2012(3 publications)
[publication]Bruno Direito and Teixeira, C. and Ribeiro, B. and Castelo-Branco, M. and António Dourado , "Space Time Frequency (STF) Code Tensor for the Characterization of the Epileptic Preictal Stage", in 34th Annual International Conference of the IEEE EMBS, 2012

[publication]Bandarabadi, M. and Teixeira, C. and Bruno Direito and António Dourado , "Epileptic Seizure Prediction based on a bivariate spectral power methodology", in 34th Annual International Conference of the IEEE EMBS, 2012
[citation][year=2016]Assi, E.B., Nguyen, D.K., Rihana, S. and Sawan, M., 2017. Towards accurate prediction of epileptic seizures: A review. Biomedical Signal Processing and Control, 34, pp.144-157.
[citation][year=2016]Behbahani, S., Dabanloo, N.J., Nasrabadi, A.M. and Dourado, A., 2016. Prediction of epileptic seizures based on heart rate variability. Technology and Health Care, (Preprint), pp.1-16.
[citation][year=2014]YADOLLAHPOUR, ALI, and MOSTAFA JALILIFAR. "Seizure Prediction Methods: A Review of the Current Predicting Techniques." Studies 153: 7.

[publication]Teixeira, C. and Bruno Direito and Bandarabadi, M. and António Dourado , "Output regularization of SVM seizure predictors: Kalman Filter versus the “Firing Power” method", in 34th Annual International Conference of the IEEE EMBS, 2012
[citation][year=2015][HTML] Forecasting seizures using intracranial EEG measures and SVM in naturally occurring canine epilepsy
BH Brinkmann, EE Patterson, C Vite, VM Vasoli… - PloS one, 2015 - journals.plos.org
Abstract Management of drug resistant focal epilepsy would be greatly assisted by a reliable
warning system capable of alerting patients prior to seizures to allow the patient to adjust
activities or medication. Such a system requires successful identification of a preictal, or ...
[citation][year=2015]Early detection of epilepsy seizures based on a weightless neural network
K de Aguiar, FMG Franca, VC Barbosa… - … in Medicine and …, 2015 - ieeexplore.ieee.org
Abstract—This work introduces a new methodology for the early detection of epileptic
seizure based on the WiS-ARD weightless neural network model and a new approach in
terms of preprocessing the electroencephalogram (EEG) data. WiSARD has, among other ...
[citation][year=2014]Couceiro, R., et al. "Neurally mediated syncope prediction based on changes of cardiovascular performance surrogates: Algorithms comparison." Biomedical Engineering and Informatics (BMEI), 2014 7th International Conference on. IEEE, 2014.

2011(3 publications)
[publication]Bruno Direito and Teixeira, C. and António Dourado and Duarte, J. , "On the benefits of multidimensional scaling in epileptic seizure prediction", in 1st Portugese Meeting in Bioengineering, 2011
[citation][year=2014]Ghaderyan, Peyvand, Ataollah Abbasi, and Mohammad Hossein Sedaaghi. "An efficient seizure prediction method using KNN-based undersampling and linear frequency measures." Journal of neuroscience methods 232 (2014): 134-142.

[publication]Bruno Direito and Teixeira, C. and António Dourado , "Feature selection in high dimensional EEG features spaces for epileptic seizure prediction", in 18th World Congress of the International Federation of Automatic Control (IFAC), 2011
[citation][year=2015]PDF] Classification of Error Related Potential (ErrP) in P300-Speller
A Isayed - 2015 - researchgate.net
Abstract P300-Speller is one of the most popular paradigm for constructing Brain Computer
Interface (BCI) system that allows subjects to type letters by focusing on a specific target on a
computer screen. When BCI system recognises a different command than the subject's ...
[citation][year=2013]Tetzlaff, Ronald, and Vanessa Senger. "The Seizure Prediction Problem in Epilepsy: Cellular Nonlinear Networks." Circuits and Systems Magazine, IEEE 12.4 (2012): 8-20.

[publication]Bruno Direito and Ventura, F. and Teixeira, C. and António Dourado , "Optimized Feature Subsets for Epileptic Seizure Prediction Studies", in EMBC-2011, 33nd Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2011
[citation][year=2016]Zainuddin, Z., Lai, K.H. and Ong, P., 2016. An enhanced harmony search based algorithm for feature selection: Applications in epileptic seizure detection and prediction. Computers & Electrical Engineering, 53, pp.143-162.

2010(1 publication)
[publication]Teixeira, C. and Bruno Direito and Costa, R. and LeVanQuyen, M. and António Dourado , "A computational environment for long-term multi-feature and multi-algorithm seizure prediction", in Engineering in Medicine and Biology Society (EMBC), 2010 Annual International Conference of the IEEE, 2010

2009(3 publications)
[publication]Bruno Direito and António Dourado and Teixeira, C. and Aires, L. and Costa, R. and Schelter, B. and LeVanQuyen, M. , "EPILAB: A Matlab® Platform for Multi-Feature and Multi-Algorithm Seizure Prediction Studies", in 4th International Workshop on Seizure Prediction, 2009

[publication]Teixeira, C. and Costa, R. and Bruno Direito and António Dourado , "Low-Complex TD-RBF and TD-SVM Seizures Predictors Based on EEG Energy and ECG Entropy", in 4th International Workshop on Seizure Prediction, 2009

[publication]António Dourado and Ventura, A. and João M. Franco and J. P. Ramos and Bruno Direito , "Epileptic Seizure Prediction and The", in 19th International Conference on Artificial Neural Networks,  vol. 5769, 2009
[citation][year=2015]Online epileptic seizure prediction using wavelet-based bi-phase correlation of electrical signals tomography
Z Vahabi, R Amirfattahi, F Shayegh… - International journal of …, 2015 - World Scientific
Considerable efforts have been made in order to predict seizures. Among these methods, 
the ones that quantify synchronization between brain areas, are the most important methods. 
However, to date, a practically acceptable result has not been reported. In this paper, we  ...

2008(6 publications)
[publication]Bruno Direito and António Dourado and Marco Vieira and Sales, F. , "Combining Energy and Wavelet Transform for Epileptic Seizure Prediction in an Advanced Computational System", in International Conference on Biomedical Engineering and informatics, 2008
[citation][year=2015]Real-time mining of epileptic seizure precursors via nonlinear mapping and dissimilarity features
S Nesaei, AR Sharafat - IET Signal Processing, 2015 - IET
We propose a novel approach for detecting precursors to epileptic seizures in intracranial 
electroencephalograms (iEEGs), which is based on the analysis of system dynamics. In the 
proposed scheme, the largest Lyapunov exponent (LLE) of wavelet entropy of the  ...
[citation][year=2014]Real-time Detection of Precursors to Epileptic Seizures: Non-Linear Analysis of System Dynamics
S Nesaei, AR Sharafat - Journal of medical signals and sensors, 2014 - ncbi.nlm.nih.gov
[citation][year=2012]Manohar Ayinala, "Low-Power Architectures for Signal Processing and Classi?cation Systems", University of Minnesota, USA, August 2012.
[citation][year=2010]Shao-Hang Hung, Chih-Feng Chao, Shu-Kai Wang, Bor-Shyh Lin, Chin-Teng Lin, "VLSI implementation for Epileptic Seizure Prediction System based on wavelet and chaos theory", IEEE Region 10 Conference 2010, TENCON 2010, Fukuoka, Japan, November 21-24, 2010.
[citation][year=2010]Nesaei, S., Nesaei, S., "Comparison of phase synchrony information flow in human EEG through wavelet phase synchronization analysis", 2010 IEEE 10th International Conference on Signal Processing, ICSP 2010, Beijing, China, October 2010.
[citation][year=2009]Hu, S., Stead, M., Liang, H., Worrell, G. A., "Reference Signal Impact on EEG Energy?, 6th international Symposium on Neural Networks: Advances in Neural Networks - Part III, Wuhan, China, May 2009.

[publication]Bruno Direito and António Dourado and Marco Vieira and Sales, F. , "An Application for Electroencephalogram Mining for Epileptic Seizure Prediction", in ICDM- International Conference on Data Mining, 2008
[citation][year=2012]Nearest neighbor estimate of conditional mutual information in feature selection
A Tsimpiris, I Vlachos, D Kugiumtzis - Expert Systems with Applications, 2012 - Elsevier
[citation][year=2012]Alkiviadis Tsimpiris, Ioannis Vlachos, Dimitris Kugiumtzis, "Nearest neighbor estimate of conditional mutual information in feature selection", Expert Systems with Applications, Vol. 39 Issue 16, November 2012.
[citation][year=2010]A. Tsimpiris, D. Kugiumtzis, "EEG Features as biomarkers for discrimination of pre-ictal states", International Conference on Biomedical Data & Knowledge Mining: Towards Biomarker Discovery, Chania, Greece, July 2010.
[citation][year=2010]A. Tsimpiris, D. Kugiumtzis and P.G. Larsson, "Discrimination of epileptic pre-ictal states using feature based clustering on EEG", XII Mediterranean Conference on Medical and Biological Engineering and Computing (Medicon 2010), Porto Carras, Chalkidiki, Greece, May 2010.


[publication]António Dourado and Martins, R. and Duarte, J. and Bruno Direito , "Towards Personalized Neural Networks for Epileptic Seizure Prediction", in International Conference on Neural Networks ICANN 2008,  vol. 5164, 2008
[citation][year=2014]Design and Development of Prediction Model to Detect Seizure Activity Utilizing Higher Order Statistical Features of EEG signals. Meenakshi Sood*, and Sunil V Bhooshan
Research Journal of Pharmaceutical, Biological and Chemical Sciences, May-June 2014 p. 1129

[publication]Bruno Direito and Martins, R. and Costa, R. and António Dourado and Sales, F. and Marco Vieira , "Computational Intelligence Algorithms for Seizure Prediction", in 8th European Congress on Epileptology, 2008

[publication]Bruno Direito and António Dourado and Marco Vieira , "Classification of epileptic EEG data using multidimensional scaling", in ICBBE 2008, The 2nd International Conference on Bioinformatics and Biomedical Engineering, 2008

[publication]Costa, R. and Oliveira, P. and Oliveira, P. and Rodrigues, G. and Bruno Direito and António Dourado , "Epileptic Seizure Classification Using Neural Networks With 14 Features",  vol. 5178/2008, 2008
[citation][year=2015]Seizure prediction for therapeutic devices: a review
K Gadhoumi, JM Lina, F Mormann, J Gotman - Journal of neuroscience …, 2015 - Elsevier
Abstract Research in seizure prediction has come a long way since its debut almost 4 
decades ago. Early studies suffered methodological caveats leading to overoptimistic results 
and lack of statistical significance. The publication of guidelines addressing mainly the  ...
[citation][year=2015]Online epileptic seizure prediction using wavelet-based bi-phase correlation of electrical signals tomography
Z Vahabi, R Amirfattahi, F Shayegh… - International journal of …, 2015 - World Scientific
Considerable efforts have been made in order to predict seizures. Among these methods, 
the ones that quantify synchronization between brain areas, are the most important methods. 
However, to date, a practically acceptable result has not been reported. In this paper, we  ...
[citation][year=2014]EEG seizure detection and prediction algorithms: a survey
TN Alotaiby, SA Alshebeili, T Alshawi, I Ahmad… - EURASIP Journal on …, 2014 - Springer
Abstract Epilepsy patients experience challenges in daily life due to precautions they have 
to take in order to cope with this condition. When a seizure occurs, it might cause injuries or 
endanger the life of the patients or others, especially when they are using heavy  ...
[citation][year=2014]A Neural Network Model for Predicting Epileptic Seizures based on Fourier-Bessel Functions. 
S Husain, KS Rao - International Journal of Signal Processing, Image …, 2014 - sersc.org
[citation][year=2014]Performance analysis of wavelet transforms and morphological operator-based classification of epilepsy risk levels
R Harikumar, T Vijayakumar - EURASIP Journal on Advances in Signal …, 2014 - Springer
[citation][year=2014]Wavelets and Morphological Operators Based Classification of Epilepsy Risk Levels
H Rajaguru, V Thangavel - Mathematical Problems in Engineering, 2014 - hindawi.com
[citation][year=2012]Classification of EEG signals for epileptic seizure prediction using ANN
J Kevric, A Subasi - 2012 - eprints.ibu.edu.ba
[citation][year=2012]Nearest neighbor estimate of conditional mutual information in feature selection
A Tsimpiris, I Vlachos, D Kugiumtzis - Expert Systems with Applications, 2012 - Elsevier
[citation][year=2012]Detection of epileptic seizures: the reservoir computing approach
P Buteneers - 2012 - biblio.ugent.be
[citation][year=2011]Automatic detection of epileptic seizures on the intra-cranial electroencephalogram of rats using reservoir computing
P Buteneers, D Verstraeten, P van Mierlo… - Artificial intelligence in …, 2011 - Elsevier
[citation][year=2011]Evaluating bio-inspired approaches for advance prediction of epileptic seizures
N Moghim, D Corne - … (NaBIC), 2011 Third World Congress on, 2011 - ieeexplore.ieee.org

Book Chapters
2014(1 publication)
[publication]Teixeira, C. and Favaro, G. and Bruno Direito and Bandarabadi, M. and Feldwirsch-Drentrup, H. and Ihle, M. and Alvarado-Rojas, C. and LeVanQuyen, M. and Schelter, B. and Bonhage, A.S. and Sales, F. and Navarro, V. and António Dourado , "Brainatic: A System for Real-Time Epileptic Seizure Prediction", in Brain-Computer Interface Research: A State-of-the-Art Summary -2,  vol. 6,  pp. 7-18, 2014
[citation][year=2015]TML] Dynamical disease: Challenges for nonlinear dynamics and medicine
L Glass - Chaos: An Interdisciplinary Journal of Nonlinear …, 2015 - scitation.aip.org
Dynamical disease refers to illnesses that are associated with striking changes in the
dynamics of some bodily function. There is a large literature in mathematics and physics
which proposes mathematical models for the physiological systems and carries out ...

2011(1 publication)
[publication]Bruno Direito and Teixeira, C. and LeVanQuyen, M. and António Dourado , "EPILAB: A MATLAB platform for multi-feature and multi-algorithm seizure prediction", in Epilepsy: The Intersection of Neurosciences, Biology, Mathematics, Engineering and Physics.,  vol. -, 2011