Journal Articles
2018(1 publication)
[publication]Machado, F. and Sales, F. and Santos, C. and António Dourado and Teixeira, C. , "A knowledge discovery methodology from EEG data for cyclic alternating pattern detection", BioMedical Engineering OnLine,  vol. 17,  pp. 185-185, 2018

2017(2 publications)
[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

[publication]Andrade, J. and Cecílio, J. and Simões, M. and Sales, F. and Castelo-Branco, M. , "Separability of motor imagery of the self from interpretation of motor intentions of others at the single trial level: an EEG study", Journal of NeuroEngineering and Rehabilitation,  vol. 14,  pp. 63-63, 2017

2014(2 publications)
[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 ...

[publication]Alvarado-Rojas, C. and Valderrama, M. and Fouad-Ahmed, A. and Feldwirsch-Drentrup, H. and Ihle, M. and Teixeira, C. and Sales, F. and Bonhage, A.S. and Adam, C. and António Dourado and Charpier, S. and Navarro, V. and LeVanQuyen, M. , "Slow modulations of high-frequency activity (40-140 Hz) discriminate preictal changes in human focal epilepsy", Scientific Reports, 2014
[citation][year=2016]Jin, B., Wang, S., Yang, L., Shen, C., Ding, Y., Guo, Y., Wang, Z., Zhu, J., Wang, S. and Ding, M., 2016. Prevalence and predictors of subclinical seizures during scalp video-EEG monitoring in patients with epilepsy. International Journal of Neuroscience, pp.1-8.
[citation][year=2016]Amiri, M., Frauscher, B. and Gotman, J., 2016. Phase-Amplitude coupling is elevated in deep sleep and in the onset zone of focal epileptic seizures. Frontiers in Human Neuroscience, 10.
[citation][year=2016]Nonoda, Y., Miyakoshi, M., Ojeda, A., Makeig, S., Juhász, C., Sood, S. and Asano, E., 2016. Interictal high-frequency oscillations generated by seizure onset and eloquent areas may be differentially coupled with different slow waves. Clinical Neurophysiology, 127(6), pp.2489-2499.
[citation][year=2016]He, Y. and Yang, F., 2016, August. Temporal evolution analysis of functional connectivity in epilepsy based on weighted complex networks. In Signal Processing, Communications and Computing (ICSPCC), 2016 IEEE International Conference on (pp. 1-3). IEEE.
[citation][year=2015]Collaborating and sharing data in epilepsy research
JB Wagenaar, GA Worrell, Z Ives… - Journal of Clinical …, 2015 - journals.lww.com
Summary: Technological advances are dramatically advancing translational research in
Epilepsy. Neurophysiology, imaging, and metadata are now recorded digitally in most
centers, enabling quantitative analysis. Basic and translational research opportunities to ...
[citation][year=2015]Computational modeling of neurostimulation in brain diseases
Y Wang, F Hutchings, M Kaiser - Progress in brain research, 2015 - Elsevier
Abstract Neurostimulation as a therapeutic tool has been developed and used for a range of
different diseases such as Parkinson's disease, epilepsy, and migraine. However, it is not
known why the efficacy of the stimulation varies dramatically across patients or why some ...
[citation][year=2015]Defining regions of interest using cross-frequency coupling in extratemporal lobe epilepsy patients
M Guirgis, Y Chinvarun, M del Campo… - Journal of neural …, 2015 - iopscience.iop.org
Objective. Clinicians identify seizure onset zones (SOZs) for resection in an attempt to
localize the epileptogenic zone (EZ), which is the cortical tissue that is indispensible for
seizure generation. An automated system is proposed to objectively localize this EZ by ...
[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]Conundrums of High-Frequency Oscillations (80–800 Hz) in the Epileptic Brain
LM de la Prida, RJ Staba, JA Dian - Journal of Clinical …, 2015 - journals.lww.com
Summary: Pathological high-frequency oscillations (HFOs)(80–800 Hz) are considered
biomarkers of epileptogenic tissue, but the underlying complex neuronal events are not well
understood. Here, we identify and discuss several outstanding issues or conundrums in ...
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2012(2 publications)
[publication]Klatt, J. and Ihle, M. and Navarro, V. and Neufang, M. and Teixeira, C. and Adam, C. and Valderrama, M. and Alvarado-Rojas, C. and Witon, A. and LeVanQuyen, M. and Sales, F. and António Dourado and Timmer, J. and Bonhage, A.S. and Schelter, B. , "The EPILEPSIAE database-An extensive electroencephalography database of epilepsy patients", Epilepsia, 2012
[citation][year=2016]Data integration: Combined imaging and electrophysiology data in the cloud
LG Kini, KA Davis, JB Wagenaar - NeuroImage, 2016 - Elsevier
Abstract There has been an increasing effort to correlate electrophysiology data with 
imaging in patients with refractory epilepsy over recent years. IEEG. org provides a free-
access, rapidly growing archive of imaging data combined with electrophysiology data  ...
[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]Kini, L.G., Gee, J.C. and Litt, B., 2016. Computational analysis in epilepsy neuroimaging: A survey of features and methods. NeuroImage: Clinical, 11, pp.515-529.
[citation][year=2016]Mormann, F. and Andrzejak, R.G., 2016. Seizure prediction: making mileage on the long and winding road. Brain, 139(6), pp.1625-1627.
[citation][year=2016]Alawieh, H., Hammoud, H., Haidar, M., Nassralla, M.H., El-Hajj, A.M. and Dawy, Z., 2016, September. Patient-aware adaptive ngram-based algorithm for epileptic seizure prediction using EEG signals. In e-Health Networking, Applications and Services (Healthcom), 2016 IEEE 18th International Conference on (pp. 1-6). IEEE.
[citation][year=2016]Ferastraoaru, V., Schulze?Bonhage, A., Lipton, R.B., Dümpelmann, M., Legatt, A.D., Blumberg, J. and Haut, S.R., 2016. Termination of seizure clusters is related to the duration of focal seizures. Epilepsia, 57(6), pp.889-895.
[citation][year=2016]Navarrete, M., Alvarado-Rojas, C., Le Van Quyen, M. and Valderrama, M., 2016. RIPPLELAB: A Comprehensive Application for the Detection, Analysis and Classification of High Frequency Oscillations in Electroencephalographic Signals. PloS one, 11(6), p.e0158276.
[citation][year=2015]Collaborating and sharing data in epilepsy research
JB Wagenaar, GA Worrell, Z Ives… - Journal of Clinical …, 2015 - journals.lww.com
Summary: Technological advances are dramatically advancing translational research in 
Epilepsy. Neurophysiology, imaging, and metadata are now recorded digitally in most 
centers, enabling quantitative analysis. Basic and translational research opportunities to  ...
[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  ...
Early detection of epilepsy seizures based on a weightless neural network
[citation][year=2015]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=2015]vances in Neural Information Processing Systems, 2: 550–557, 1990.(Cited on p. 295)[4] BM Adams, HT Banks, M. Davidian, H.-D. Kwon, HT Tran, SN Wynne, and ES …
IJC Platt, D Koller, Y Singer, S Roweis - SIAM
[citation][year=2014]Eftekhar, Amir, et al. "Ngram-Derived Pattern Recognition for the Detection and Prediction of Epileptic Seizures." PLOS ONE 9.6 (2014): e96235.
[citation][year=2014]Lie, Octavian V., and Jose E. Cavazos. "Responsive neurostimulation in epilepsy therapy: Some answers, lingering questions." Epilepsy & behavior: E&B 34 (2014): 25.
[citation][year=2014]Haddad, Mohamed Tahar. Anticipation des crises d’épilepsie temporale combinant des méthodes statistiques et non-linéaires d’analyse d’électroencéphalographie. Diss. Université du Québec en Outaouais, 2014.
[citation][year=2014]van Mierlo, Pieter, et al. "Functional brain connectivity from EEG in epilepsy: Seizure prediction and epileptogenic focus localization." Progress in neurobiology 121 (2014): 19-35.
[citation][year=2013]Elger, Christian E., and Florian Mormann. "Seizure prediction and documentation—two important problems." The Lancet Neurology 12.6 (2013): 531-532.
[citation][year=2013]Selvaraj, Thomas George, et al. "EEG Database of Seizure Disorders for Experts and Application Developers." Clinical EEG and Neuroscience (2013): 1550059413500960.
[citation][year=2013]Haut, Sheryl. "Predicting seizures: are we there yet?." Epilepsy Currents 13.6 (2013): 276-278.

[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]Feldwirsch-Drentrup, H. and Ihle, M. and LeVanQuyen, M. and Teixeira, C. and António Dourado and Timmer, J. and Sales, F. and Navarro, V. and Bonhage, A.S. and Schelter, B. , "Anticipating the unobserved: Prediction of subclinical seizures", Epilepsy & Behaviour,  vol. 22,  pp. 119-126, 2011
[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]Jin, B., Wang, S., Yang, L., Shen, C., Ding, Y., Guo, Y., Wang, Z., Zhu, J., Wang, S. and Ding, M., 2016. Prevalence and predictors of subclinical seizures during scalp video-EEG monitoring in patients with epilepsy. International Journal of Neuroscience, pp.1-8.
[citation][year=2015]Collaborating and sharing data in epilepsy research
JB Wagenaar, GA Worrell, Z Ives… - Journal of Clinical …, 2015 - journals.lww.com
Summary: Technological advances are dramatically advancing translational research in
Epilepsy. Neurophysiology, imaging, and metadata are now recorded digitally in most
centers, enabling quantitative analysis. Basic and translational research opportunities to ...
[citation][year=2015]Assessing directionality and strength of coupling through symbolic analysis: an application to epilepsy patients
K Lehnertz, H Dickten - … Transactions of the Royal …, 2015 - rsta.royalsocietypublishing.org
Abstract Inferring strength and direction of interactions from electroencephalographic (EEG)
recordings is of crucial importance to improve our understanding of dynamical
interdependencies underlying various physiological and pathophysiological conditions in ...
[citation][year=2015]Early Seizure detection Algorithm Based on Intracranial EEG and Random Forest Classification
C Donos, M Dümpelmann… - International Journal of …, 2015 - World Scientific
The goal of this study is to provide a seizure detection algorithm that is relatively simple to
implement on a microcontroller, so it can be used for an implantable closed loop stimulation
device. We propose a set of 11 simple time domain and power bands features, computed ...
Artigos relacionados Citar Guardar Mais
[citation][year=2015]Lehnertz, Klaus, and Henning Dickten. "Assessing directionality and strength of coupling through symbolic analysis: an application to epilepsy patients." Philosophical Transactions of the Royal Society of London A: Mathematical, Physical and Engineering Sciences 373.2034 (2015): 20140094.
[citation][year=2014]Osorio, Ivan. "Is ictal cognitive dysfunction predictable?." Clinical Neurophysiology (2014).
[citation][year=2014]Eftekhar, Amir, et al. "Ngram-Derived Pattern Recognition for the Detection and Prediction of Epileptic Seizures." PLOS ONE 9.6 (2014): e96235.
[citation][year=2014]Ozdemir, Nilufer, and Esen Yildirim. "Patient Specific Seizure Prediction System Using Hilbert Spectrum and Bayesian Networks Classifiers." Computational and Mathematical Methods in Medicine 2014 (2014).
[citation][year=2013]Chavakula, Vamsidhar, et al. "Automated quantification of spikes." Epilepsy & Behavior 26.2 (2013): 143-152.
[citation][year=2013]Rocamora, Rodrigo, et al. "Sleep modulation of epileptic activity in mesial and neocortical temporal lobe epilepsy: A study with depth and subdural electrodes." Epilepsy & Behavior 28.2 (2013): 185-190.

Conference Articles
2016(1 publication)
[publication]Machado, F. and Teixeira, C. and Santos, C. and Bento, C. and Sales, F. and António Dourado , "A-Phases Subtype Detection Using Different Classification Methods", in 38th Int. Conf. of the IEEE Engineering in Medicine and Biology Society – EMBC’2016, August 2016, 2016

2015(2 publications)
[publication]Machado, F. and Bento, C. and Sales, F. and António Dourado and Teixeira, C. , "Automatic Identification of Cyclic Alternating Pattern (CAP) Sequences based on the Teager Energy Operator", in  37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBS), 2015

[publication]Teixeira, C. and Alberto Cardoso and Gomes, M.d.P.C. and Sales, F. and António Dourado , "An alternative methodology for the estimation of frequency changes in electroencephalogram signals", in 3rd Experiment@International Conference, 2015

2014(2 publications)
[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

[publication]António Dourado and Teixeira, C. and LeVanQuyen, M. and Favaro, G. and Bonhage, A.S. and Sales, F. , "Giving hope to refractory epileptic patients", in  2014 IST-Africa Conference & Exhibition      DOI: 10.1109/ISTAFRICA.2014.6880622 , 2014

2013(1 publication)
[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

2010(1 publication)
[publication]Almeida, P. and Paulo Gomes and Sales, F. and António Dourado and Nogueira, A.C. , "Ontology and Knowledge Management System on Epilepsy and Epileptic Seizures", in SWAT4LS, 2010
[citation][year=2015]PDON: Parkinson's disease ontology for representation and modeling of the Parkinson's disease knowledge domain
E Younesi, A Malhotra, M Gündel, P Scordis… - … Biology and Medical …, 2015 - tbiomed.com
Background Despite the unprecedented and increasing amount of data, relatively little 
progress has been made in molecular characterization of mechanisms underlying 
Parkinson's disease. In the area of Parkinson's research, there is a pressing need to  ...
[citation][year=2014]ADO: A disease ontology representing the domain knowledge specific to Alzheimer's disease
A Malhotra, E Younesi, M Gündel, B Müller… - Alzheimer's & …, 2013 - Elsevier
[citation][year=2014]Epilepsy and seizure ontology: towards an epilepsy informatics infrastructure for clinical research and patient care
SS Sahoo, SD Lhatoo, DK Gupta, L Cui… - Journal of the …, 2013 - jamia.bmj.com
[citation][year=2014]CPKMS: A Knowledge Management Repository For Community Pediatrics
Oladejo Bolanle F., Olaolorun Ifeoluwatayo A.
Informatiion and Knowledge Management, vol. 4 nº 4 (2014) ISSN 2224-5758 (Paper) ISSN 2224-896X (Online)

2009(1 publication)
[publication]António Dourado and LeVanQuyen, M. and Schelter, B. and Favaro, G. and Sales, F. and Navarro, V. and Bonhage, A.S. , "EPILEPSIAE- Evolving Platform for Improving Living Expectation of Patients Suffering from IctAl Events", in 4th International Worshop on Seizure prediction, 2009

2008(5 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]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]Bonhage, A.S. and Schelter, B. and LeVanQuyen, M. and Sales, F. and António Dourado , "A European database for seizure prediction,", in 8th European Congress on Epileptology, 2008

[publication]António Dourado and LeVanQuyen, M. and Schelter, B. and Favaro, G. and Bonhage, A.S. and Sales, F. , "EPILEPSIAE- evolving platform for improving living expectations of patients suffering from ictal events", in 8th European Congress on Epileptology, 2008

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 ...