Journal Articles 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 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(2 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 2008(2 publications) [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]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