Journal Articles 2020(4 publications) [publication]Lopes, F. and Agnelo, J. and Teixeira, C. and Laranjeiro, N. and Jorge Bernardino , "Automating orthogonal defect classification using machine learning algorithms", Future Generation Computer Systems, vol. 102, pp. 932-947, 2020 [publication]Lopes, F. and Teixeira, C. and Gonçalo Oliveira, H, , "Comparing Different Methods for Named Entity Recognition in Portuguese Neurology Text", Journal of Medical Systems, 2020 [publication]Pisano, F. and Sias, G. and Fanni, A. and Cannas, B. and António Dourado and Pisano, B. and Teixeira, C. , "Convolutional Neural Network for Seizure Detection of Nocturnal Frontal Lobe Epilepsy", Complexity, 2020 [publication]Alvarenga, A. and Teixeira, C. and Kruger, M.A.V. and Pereira, W.C. . , "Method for estimating average grey-level's measurement uncertainty from ultrasound images for non-invasive estimation of temperature in different tissue types", Ultrasonics, pp. 106139-106139, 2020 2019(1 publication) [publication]Pisano, B. and Teixeira, C. and António Dourado and Fanni, A. , "Application of self-organizing map to identify nocturnal epileptic seizures", Neural Computing and Applications, 2019 2018(4 publications) [publication]Leal, A. and Nunes, D. and Couceiro, R. and Henriques, J. and P. Carvalho and Quintal, I. and Teixeira, C. , "Noise detection in phonocardiograms by exploring similarities in spectral features", Biomedical Signal Processing and Control, vol. 44, pp. 154-154, 2018 [publication]Ribeiro, D. and Teixeira, C. and Alberto Cardoso , "Web-based Platform for Training in Biomedical Signal Processing and Classification: the Particular Case of EEG-based Drowsiness Detection", International Journal of Online Engineering (iJOE), vol. 14, pp. 164-171, 2018 [publication]Teixeira, C. and Pastrana-Chalco, M.E. and Pedrosa, A. and Simões, R.J. and Fontes, A. and Alvarenga, A. and Kruger, M.A.V. and Pereira, W.C. . , "On the Feasibility of Ultrasound Imaging Enrichment by Medium-Temperature Changes", Ultrasonic Imaging, 2018 [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]Teixeira, C. and Mendes, L. and Ruano M G and Pereira, W.C. . , "A method for sub-sample computation of time displacements between discrete signals based only on discrete correlation sequences ", Biomedical Signal Processing and Control , vol. 31, pp. 560-560, 2017 [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 2016(1 publication) [publication]Alberto Cardoso and Osório, D. and Leitão, J. and Sousa, V. and Teixeira, C. , "A Remote Lab to Simulate the Physiological Process of Ingestion and Excretion of a Drug", International Journal of Online Engineering (iJOE), vol. 12, pp. 74-76, 2016 [citation][year=2016]Hu, Wenshan, et al. 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Automated seizure detection systems and their effectiveness for each type of seizure. Seizure, 40, pp.88-101. [citation][year=2016]Shiao, H.T., Cherkassky, V., Lee, J., Veber, B., Patterson, N., Brinkmann, B. and Worrell, G., 2016. SVM-Based System for Prediction of Epileptic Seizures from iEEG Signal. IEEE Transactions on Biomedical Engineering. [citation][year=2016]Mula, M., 2016. New trends and hot topics in epileptology: An analysis of top articles published in Epilepsy & Behavior in 2015. Epilepsy & behavior: E&B, 63, p.125. [publication]Bandarabadi, M. and , J.R. and Teixeira, C. and Netoff, T. and Parhi, K.K. and António Dourado , "EARLY SEIZURE DETECTION USING NEURONAL POTENTIAL SIMILARITY: A GENERALIZED LOW-COMPLEXITY AND ROBUST MEASURE", International Journal of Neural Systems, vol. 25, pp. 1550019-1550037, 2015 [citation][year=2016]Tonoyan, Y., Looney, D., Mandic, D.P. and Van Hulle, M.M., 2016. 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[publication]Alvarenga, A. and Teixeira, C. and Kruger, M.A.V. and Pereira, W.C. . and Costa-Félix, R. , "Uncertainty evaluation from non-invasive estimation of temperature variation using B-mode ultrasonic images from a plastic phantom", Measurement, 2015 [citation][year=2016]Zou, X., Song, H., Wang, C. and Ma, Z., 2016. Relationships between B-mode ultrasound imaging signals and suspended sediment concentrations. Measurement, 92, pp.34-41. 2014(6 publications) [publication]Behbahani, S. and Dabanloo, N.J. and Nasrabadi, A.M. and Teixeira, C. and António Dourado , "A new algorithm for detection of epileptic seizures based on HRV signal", Journal of Experimental & Theoretical Artificial , pp. 1-15, 2014 [citation][year=2016]Valke, N.S. and Karthikeyan, B.R., 2016, December. Development of classification algorithm for epileptic seizures using electrocardiogram signal. In India Conference (INDICON), 2016 IEEE Annual (pp. 1-6). IEEE. [citation][year=2016]Qaraqe, M., Ismail, M. and Serpedin, E., 2016, August. Combined matching pursuit and Wigner-Ville Distribution analysis for the discrimination of ictal heart rate variability. In Signal Processing Conference (EUSIPCO), 2016 24th European (pp. 2045-2049). IEEE. [citation][year=2016]Qaraqe, M., Ismail, M., Serpedin, E. and Zulfi, H., 2016. Epileptic seizure onset detection based on EEG and ECG data fusion. Epilepsy & Behavior, 58, pp.48-60. [citation][year=2015]Epileptic seizure detection using wristworn biosensors D Cogan, M Nourani, J Harvey… - … in Medicine and …, 2015 - ieeexplore.ieee.org Abstract—Single signal seizure detection algorithms suffer from high false positive rates. We have found a set of signals which can be easily monitored by a wristworn device and which produce a distinctive pattern during seizure for patients in an epilepsy monitoring unit ( ... [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]Teixeira, C. and Alvarenga, A. and Cortela, G. and Kruger, M.A.V. and Pereira, W.C. . , "Feasibility of non-invasive temperature estimation by the assessment of the average gray-level content of B-Mode images", Ultrasonics, 2014 [citation][year=2016]Karwat, Piotr, et al. "Determining temperature distribution in tissue in the focal plane of the high (> 100W/cm 2) intensity focused ultrasound beam using phase shift of ultrasound echoes." Ultrasonics 65 (2016): 211-219. [citation][year=2016]Karwat, P., Kujawska, T., Secomski, W., Gambin, B. and Litniewski, J., 2016. Application of ultrasound to noninvasive imaging of temperature distribution induced in tissue. Hydroacoustics, 19, pp.219-228. [citation][year=2015]Lewis, Matthew A., Robert M. Staruch, and Rajiv Chopra. "Thermometry and ablation monitoring with ultrasound." International Journal of Hyperthermia 31.2 (2015): 163-181. [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 ... Citar Guardar Mais [publication]Bandarabadi, M. and Teixeira, C. and , J.R. and António Dourado , "Epileptic Seizure Prediction Using Relative Spectral Power Features", Clinical Neurophysiology, 2014 [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][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]Is Using Threshold-Crossing Method and Single Type of Features Sufficient to Achieve Realistic Application of Seizure Prediction? Y Zheng, G Wang, J Wang - Clinical EEG and neuroscience, 2015 - eeg.sagepub.com Objective. This study aims to verify whether the simple threshold-crossing method can work well enough to achieve the realistic application of seizure prediction on the basis of a large public database, and examines how a more complex classifier can improve prediction ... [citation][year=2015]Patient-specific epileptic seizure prediction using correlation features O Panichev, A Popov… - Signal Processing …, 2015 - ieeexplore.ieee.org Abstract—In this contribution, several classifiers are employed to study patient-specific epileptic seizure prediction quality using intracranial electroencephalogram signal (iEEG) for dogs and humans suffering from epilepsy. New approach to extraction of correlation- ... [citation][year=2015]Seizure detection using regression tree based feature selection and 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 detection 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][PDF] 2015 Signal Processing Symposium (SPSympo) D Village - 2015 - researchgate.net Abstract—This paper focuses on the Time of Arrival (TOA) estimation problem related to new application of pulsar signals for airplane-based navigation. The aim of the paper is to propose and evaluate a possible algorithm for TOA estimation that consists of epoch ... [citation][year=2015]Epileptic Seizure Detection and Prediction Based on Continuous Cerebral Blood Flow Monitoring–a Review S Tewolde, K Oommen, DYC Lie… - Journal of …, 2015 - multi-science.atypon.com Epilepsy is the third most common neurological illness, affecting 1% of the world's population. Despite advances in medicine, about 25 to 30% of the patients do not respond to or cannot tolerate the severe side effects of medical treatment, and surgery is not an ... [publication]Teixeira, C. and Ruano M G and Pereira, W.C. . , "An interpolation-free and fitting-less sub-sample time-delay estimation algorithm", IFMBE Proceedings, vol. 42, pp. 288-291, 2014 2013(2 publications) [publication], J.R. and Mollaei, M.R.K. and Bandarabadi, M. and Teixeira, C. and António Dourado , "Preprocessing effects of 22 univariate features on the performance of seizure prediction methods", Journal of Neuroscience Methods, 2013 [citation][year=2016]Parvez, M.Z. and Paul, M., 2016. Epileptic seizure prediction by exploiting spatiotemporal relationship of EEG signals using phase correlation. IEEE Transactions on Neural Systems and Rehabilitation Engineering, 24(1), pp.158-168. [citation][year=2016]Fergus, P., Hussain, A., Hignett, D., Al-Jumeily, D., Abdel-Aziz, K. and Hamdan, H., 2016. A machine learning system for automated whole-brain seizure detection. Applied Computing and Informatics, 12(1), pp.70-89. [citation][year=2016]Bhardwaj, A., Tiwari, A., Krishna, R. and Varma, V., 2016. A novel genetic programming approach for epileptic seizure detection. Computer methods and programs in biomedicine, 124, pp.2-18. [citation][year=2016]Gómez, C., Poza, J., Gutiérrez, M.T., Prada, E., Mendoza, N. and Hornero, R., 2016. Characterization of EEG patterns in brain-injured subjects and controls after a Snoezelen® intervention. computer methods and programs in biomedicine, 136, pp.1-9. [citation][year=2016]Ghaderyan, P. and Abbasi, A., 2016. An efficient automatic workload estimation method based on electrodermal activity using pattern classifier combinations. International Journal of Psychophysiology, 110, pp.91-101. [citation][year=2016]Shiao, H.T., Cherkassky, V., Lee, J., Veber, B., Patterson, N., Brinkmann, B. and Worrell, G., 2016. SVM-Based System for Prediction of Epileptic Seizures from iEEG Signal. IEEE Transactions on Biomedical Engineering. [citation][year=2016]Babu, U.R. and Sridhar, C.N.V., Design and Classification of EEG and ECG Signals for Detection of Seizures based on Prototype Recognition. [citation][year=2015]Automatic Epileptic Seizure Detection Using Scalp EEG and Advanced Artificial Intelligence Techniques P Fergus, D Hignett, A Hussain, D Al-Jumeily… - BioMed research …, 2015 - hindawi.com The epilepsies are a heterogeneous group of neurological disorders and syndromes characterised by recurrent, involuntary, paroxysmal seizure activity, which is often associated with a clinicoelectrical correlate on the electroencephalogram. The diagnosis ... [citation][year=2015]An Innovative Genetic Programming Framework in modelling a real time Epileptic Seizure detection system A Bhardwaj, A Tiwari, M RameshKrishna… - 2015 - ase360.org Epilepsy, sometimes called seizure disorder, is a neurological condition that substantiates itself as a susceptibility to seizures. A seizure is a sudden burst of rhythmic discharges of electrical activity in the brain that causes an alteration in behavior, sensation, or ... [citation][year=2015]Reliable seizure prediction from EEG data V Cherkassky, B Veber, J Lee, HT Shiao… - … Joint Conference on, 2015 - ieeexplore.ieee.org Abstract-There is a growing interest in data-analytic modeling for prediction and/or detection of epileptic seizures from EEG recording of brain activity [1-10]. Even though there is clear evidence that many patients have changes in EEG signal prior to seizures, development ... Citar Guardar Mais [citation][year=2015]Band-sensitive seizure onset detection via CSP-enhanced EEG features M Qaraqe, M Ismail, E Serpedin - Epilepsy & Behavior, 2015 - Elsevier Abstract This paper presents two novel epileptic seizure onset detectors. The detectors rely on a common spatial pattern (CSP)-based feature enhancement stage that increases the variance between seizure and nonseizure scalp electroencephalography (EEG). The ... [citation][year=2015]Machine learning for seizure prediction: A revamped approach A Sai Kumar, L Nigam, D Karnam… - Advances in …, 2015 - ieeexplore.ieee.org Abstract—Occurrence of multiple seizures is a common phenomenon observed in patients with epilepsy: a neurological malfunction that affects approximately 50 million people in the world. Seizure prediction is widely acknowledged as an important problem in the ... [citation][year=2015]A novel genetic programming approach for epileptic seizure detection A Bhardwaj, A Tiwari, R Krishna, V Varma - Computer methods and …, 2015 - Elsevier Abstract The human brain is a delicate mix of neurons (brain cells), electrical impulses and chemicals, known as neurotransmitters. Any damage has the potential to disrupt the workings of the brain and cause seizures. These epileptic seizures are the manifestations ... [citation][year=2015][PDF] A Machine Learning System for Automated Whole-Brain Seizure Detection B Street, P de Moulon - 2015 - researchgate.net ABSTRACT Epilepsy is a chronic neurological condition that affects approximately 70 million people worldwide. Characterised by sudden bursts of excess electricity in the brain, manifesting as seizures, epilepsy is still not well understood when compared with other ... [citation][year=2015]Epileptic Seizure Prediction by Exploiting Spatiotemporal Relationship of EEG Signals using Phase Correlation MZ Parvez, M Paul - 2015 - ieeexplore.ieee.org Abstract—Automated seizure prediction has a potential in epilepsy monitoring, diagnosis, and rehabilitation. Electroencephalogram (EEG) is widely used for seizure detection and prediction. This paper proposes a new seizure prediction approach based on ... [citation][year=2015][HTML] A machine learning system for automated whole-brain seizure detection P Fergus, A Hussain, D Hignett, D Al-Jumeily… - Applied Computing and …, 2015 - Elsevier Abstract Epilepsy is a chronic neurological condition that affects approximately 70 million people worldwide. Characterised by sudden bursts of excess electricity in the brain, manifesting as seizures, epilepsy is still not well understood when compared with other ... [citation][year=2015][PDF] Detection of Pre-stage of Epileptic Seizure by Exploiting Temporal Correlation of EMD Decomposed EEG Signals MZ Parvez, M Paul, M Antolovich - Journal of Medical and Bioengineering …, 2015 - jomb.org Abstract—Epilepsy is one of the common neurological disorders characterized by a sudden and recurrent malfunction of the brain that is termed “seizure”, affecting over 50 million individuals worldwide. The Electroencephalogram (EEG) is the most influential technique in ... [citation][year=2015]Seizure prediction by analyzing EEG signal based on phase correlation MZ Parvez, M Paul - … in Medicine and Biology Society (EMBC), …, 2015 - ieeexplore.ieee.org Abstract—Epilepsy is a common neurological disorders characterized by sudden recurrent seizures. Electroencephalogram (EEG) is widely used to diagnose possible epileptic seizure. Many research works have been devoted to predict epileptic seizure by analyzing ... [citation][year=2015]MZ Parvez, M Paul - csusap.csu.edu.au ABSTRACT Epilepsy is one of the common neurological disorders characterized by a sudden and recurrent malfunction of the brain that is termed “seizure”, affecting around 65 million individuals worldwide. Epileptic seizure may lead to many injuries such as ... [citation][year=2015][PDF] An Enhanced Wavelet Neural Network Model with Metaheuristic Harmony Search Algorithm for Epileptic Seizure Prediction Z Zainuddin, KH Lai, P Ong - International Journal of Modeling and …, 2015 - ijmo.org Abstract—The task of epileptic seizure prediction aims at differentiating between two classes of electroencephalography (EEG) signals, namely interictal and pre-ictal signals. The development of an automated classifier that is capable of performing such task with high ... [citation][year=2015][PDF] Epileptic Seizure Prediction by Exploiting Signal Transitions Phenomena MZ Parvez, M Paul - waset.org Abstract—A seizure prediction method is proposed by extracting global features using phase correlation between adjacent epochs for detecting relative changes and local features using fluctuation/deviation within an epoch for determining fine changes of ... [citation][year=2015]Parvez, Mohammad Zavid, Manoranjan Paul, and Michael Antolovich. 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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. 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Springer International Publishing, 2014. 2007(1 publication) [publication]Ruano M G and Teixeira, C. and Mendes, L. and Pereira, W.C. . , "A method for sub-sample computation of time displacements between discrete signals based only on discrete correlation sequences", Biomedical Signal Processing and Control, vol. 31, pp. 560-568, 2007 Conference Articles 2020(2 publications) [publication]Pessoa, D. and Petrella, L. and Castelo-Branco, M. and Teixeira, C. , "Automatic Segmentation of Ultrasonic Vocalizations in Rodents", in XV Mediterranean Conference on Medical and Biological Engineering and Computing -- MEDICON 2019, 2020 [publication]Pastrana-Chalco, M.E. and Pereira, W.C. . and Teixeira, C. , "Improving Visual Contrast Between Fat and Muscle Tissues in B-Mode Images Using CBE: A Simulation Study", in XV Mediterranean Conference on Medical and Biological Engineering and Computing -- MEDICON 2019, 2020 2019(12 publications) [publication]Paiva, R.P. and Rocha, B.M.M. and Teixeira, C. and Henriques, J. and P. Carvalho , "Feature Engineering for the Detection and Classification of Respiratory Sounds", in XV Mediterranean Conference on Medical and Biological Engineering and Computing – MEDICON 2019, 2019 [publication]Couceiro, R. and Barbosa, R. and Joao Duraes and Duarte, G. and Castelhano, J. and Duarte, C. and Teixeira, C. and Laranjeiro, N. and Medeiros, J. and Castelo-Branco, M. and P. Carvalho and Madeira, H. , "Spotting problematic code lines using nonintrusive programmers’ biofeedback", in 30th International Symposium on Software Reliability Engineering (ISSRE 2019), 2019 [publication]Lopes, F. and Teixeira, C. and Gonçalo Oliveira, H, , "Named Entity Recognition in Portuguese Neurology Text Using CRF", in Progress in Artificial Intelligence, 2019 [publication]Lopes, F. and Teixeira, C. and Gonçalo Oliveira, H, , "Contributions to Clinical Named Entity Recognition in Portuguese", in Proceedings of the 18th BioNLP Workshop and Shared Task, 2019 [publication]Medeiros, J. and Couceiro, R. and Castelhano, J. and Duarte, G. and Duarte, C. and Joao Duraes and Madeira, H. and Carvalho, P. and Teixeira, C. and Branco, M.L. , "Software code complexity assessment using EEG features", in 2019 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), 2019 [publication]Leal, A. and Pinto, M. and Henriques, J. and Ruano M G and P. Carvalho and Teixeira, C. , "Preictal Time Assessment using Heart Rate Variability Features in Drug-resistant Epilepsy Patients", in 2019 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), 2019 [publication]Nunes, D. and Rocha, T. and Traver, V. and Teixeira, C. and Ruano M G and Paredes, S. and Carvalho, P. and Henriques, J. , "Latent states extraction through Kalman Filter for the prediction of heart failure decompensation events", in 2019 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), 2019 [publication]Couceiro, R. and Duarte, G. and Joao Duraes and Castelhano, J. and Duarte, C. and Teixeira, C. and Castelo-Branco, M. and Carvalho, P. and Madeira, H. , "Pupillography as Indicator of Programmers' Mental Effort and Cognitive Overload", in 2019 49th Annual IEEE/IFIP International Conference on Dependable Systems and Networks (DSN), 2019 [publication]Rigueira, J. and Pastrana-Chalco, M.E. and Teixeira, C. and Kruger, M.A.V. and Pereira, W.C. . , "Evaluation of the Gray Scale Intensity Variation of Ultrasonic Images from Porcine Muscle Tissue as a Function of Temperature", in 2019 Global Medical Engineering Physics Exchanges/ Pan American Health Care Exchanges (GMEPE/PAHCE), 2019 [publication]Couceiro, R. and Duarte, G. and Joao Duraes and Castelhano, J. and Duarte, C. and Teixeira, C. and Castelo-Branco, M. and P. Carvalho and Madeira, H. , "Pupillography as indicator of programmers’ mental effort and cognitive overload", in DSN, 2019 [publication]Medeiros, J. and Couceiro, R. and Castelhano, J. and Castelo-Branco, M. and Duarte, C. and Joao Duraes and Madeira, H. and P. Carvalho and Teixeira, C. , "Software code complexity assessment using EEG features", in Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), 2019 [publication]Couceiro, R. and Duarte, G. and Joao Duraes and Castelhano, J. and Duarte, C. and Teixeira, C. and Castelo-Branco, M. and P. Carvalho and Madeira, H. , "Biofeedback augmented software engineering: monitoring of programmers' mental effort", in ICSE 2019, 2019 2018(4 publications) [publication]Alberto Cardoso and Leitão, J. and Teixeira, C. , "Using the Jupyter Notebook as a tool to support the Teaching and Learning Processes in Engineering Courses", in 21th International Conference on Interactive Collaborative Learning - Special Session on Talking about Teaching, 2018 [publication]Nunes, D. and Leal, A. and Rocha, T. and Traver, V. and Teixeira, C. and Ruano M G and Paredes, S. and P. Carvalho and Henriques, J. , "Risk Prediction of Heart Failure Decompensation Events in Multiparametric Feature Spaces", in 2018 40th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), 2018 [publication]Pedrosa, A. and Simões, R. and Teixeira, C. and Pastrana-Chalco, M.E. and Pereira, W.C. . , "Exploring Tissue Characterization by Temperature-Dependent Changes on Ultrasound Backscattered Energy, a Computer Simulation", in 2018 13th APCA International Conference on Control and Soft Computing (CONTROLO), 2018 [publication]Barata, R.J.D. and Ribeiro, B. and António Dourado and Teixeira, C. , "Epileptic Seizure Prediction with Stacked Auto-encoders: Lessons from the Evaluation on a Large and Collaborative Database", in Precision Medicine Powered by pHealth and Connected Health, 2018 2017(8 publications) [publication]Silva, J.M. and Ribeiro, B. and Sung, A.H. and Teixeira, C. , "Importance of the critical sampling size on data analytics", in 23rd Portuguese Conference on Pattern Recognition , 2017 [publication]Leal, A. and Ruano M G and Henriques, J. and P. Carvalho and Teixeira, C. , "On the viability of ECG features for seizure anticipation on long-term data", in Research and Technologies for Society and Industry (RTSI), 2017 IEEE 3rd International Forum on, 2017 [publication]Nunes, D. and P. Carvalho and Henriques, J. and Ruano M G and Teixeira, C. , "Pattern discovery and similarity assessment for robust Heart Sound Segmentation", in Engineering in Medicine and Biology Society (EMBC), 2017 39th Annual International Conference of the IEEE, 2017 [publication]Pisano, B. and Fanni, A. and Teixeira, C. and António Dourado , "Application of self organizing map to identify nocturnal epileptic seizures", in Self-Organizing Maps and Learning Vector Quantization, Clustering and Data Visualization (WSOM), 2017 12th International Workshop on, 2017 [publication]Ribeiro, D. and Teixeira, C. and Alberto Cardoso , "EEG-based drowsiness detection platform to compare different methodologies", in Experiment@ International Conference (exp. at'17), 2017 4th, 2017 [publication]Ribeiro, D. and Alberto Cardoso and Teixeira, C. , "Online demonstration of a EEG-based drowsiness detector", in Experiment@ International Conference (exp. at'17), 2017 4th, 2017 [publication]Mendes, L. and Chouvarda, I. and Maglaveras, N. and Teixeira, C. and Henriques, J. and Carvalho, P. and Paiva, R.P. , "Detection of wheezes and crackles using a multi-feature approach", in 5th Portuguese BioEngineering Meeting, 2017 [publication]P. Carvalho and Mendes, L. and Maglaveras, N. and Chouvarda, I. and Henriques, J. and Teixeira, C. and Paiva, R.P. , "Machine Learning and Multiparametric Analysis of Cardiorespiratory Biosignals and Environmental Parameters", in IEEE International Conference on Biomedical and Health Informatics – BHI 2017, 2017 2016(15 publications) [publication]P. Carvalho and Henriques, J. and Paiva, R.P. and Teixeira, C. and Rocha, T. and Paredes, S. and al., e. , "LINK: Linking Excellence in Biomedical knowledge and Computational Intelligence Research for personalized management of CVD within PHC", in Pan American Health Care Exchanges – PAHCE’2016, 2016 [publication]Henriques, J. and P. Carvalho and Paiva, R.P. and Teixeira, C. and Rocha, T. and Paredes, S. and al., e. , "Research on algorithms and models for pHealth applications: opportunities and challenges", in Pan American Health Care Exchanges – PAHCE’2016, 2016 [publication]P. Carvalho and Henriques, J. and Teixeira, C. and Couceiro, R. and Rocha, T. and Mendes, L. and Chouvarda, I. and Maglaveras, N. and Paiva, R.P. and al., e. , "Biodata analytics for COPD", in IEEE International Conference on Biomedical and Health Informatics – BHI’2016, 2016 [publication]P. Carvalho and Henriques, J. and Paiva, R.P. and Teixeira, C. and Rocha, T. and Paredes, S. and al., e. , "Opportunities and Challenges for Research on Intelligent Algorithms for Phealth", in 38th Int. Conf. of the IEEE Engineering in Medicine and Biology Society – EMBC’2016, 2016 [publication]Barata, R.J.D. and Ribeiro, B. and António Dourado and Teixeira, C. , "Epileptic Seizure Prediction with univariated EEG features and Stacked AutoEncoders", in Recpad 2016, 2016 [publication]Alberto Cardoso and Teixeira, C. and Henriques, J. and António Dourado , "Internet-based resources to support teaching of modelling, simulation and control of physiological systems in biomedical engineering courses", in 11th IFAC Symposium on Advances in Control Education ACE 2016 , 2016 [citation][year=2016]Oliveira, Catarina Sofia Sousa. "Development of a Platform for Storage, Simulation and Remote and Virtual Experimentation of Physiological Processes." Development of a Platform for Storage, Simulation and Remote and Virtual Experimentation of Physiological Processes. 2016. [citation][year=2016]Oliveira, C.S.S., 2016. Development of a Platform for Storage, Simulation and Remote and Virtual Experimentation of Physiological Processes. In Development of a Platform for Storage, Simulation and Remote and Virtual Experimentation of Physiological Processes. (https://eg.sib.uc.pt/handle/10316/32630) [publication]Pedrosa, A. and Simões, R.J. and Kruger, M.A.V. and Alvarenga, A. and Pereira, W.C. . and Teixeira, C. , "On the possibility of non-invasive tissue assessment using induced changes in backscattered energy: A k-wave simulation", in ICA 2016, 2016 [publication]Simões, R.J. and Pedrosa, A. and Pereira, W.C. . and Teixeira, C. , "A complete COMSOL and MATLAB finite element medical ultrasound imaging simulation", in International Congress on Acoustics, 2016 [publication]Trenk, F. and Mendes, L. and P. Carvalho and Paiva, R.P. and Teixeira, C. and Vogt, B. and Frerichs, I. , "Evaluation of Lung Ventilation Distribution in Chronic Obstructive Pulmonary Disease Patients Using the Global Inhomogeneity Index", in 38th Int. Conf. of the IEEE Engineering in Medicine and Biology Society – EMBC’2016, August 2016, 2016 [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 [publication]Leal, A. and Chouvarda, I. and Maglaveras, N. and Henriques, J. and Paiva, R.P. and P. Carvalho and Teixeira, C. , "Detection of different types of noise in lung sounds", in 38th Int. Conf. of the IEEE Engineering in Medicine and Biology Society – EMBC’2016, August 2016, 2016 [publication]Nunes, D. and Leal, A. and Henriques, J. and Couceiro, R. and P. Carvalho and Teixeira, C. , "An Accurate and Low-Complex ECG Noise Detection Methodology", in 38th Int. Conf. of the IEEE Engineering in Medicine and Biology Society – EMBC’2016, August 2016, 2016 [publication]Nunes, D. and Leal, A. and Henriques, J. and Paiva, R.P. and P. Carvalho and Teixeira, C. and Couceiro, R. , "An accurate and real-time ECG noise detection methodology", in 38th Int. Conf. of the IEEE Engineering in Medicine and Biology Society – EMBC’2016, 2016 [publication]Oliveira, C. and Teixeira, C. and Alberto Cardoso , "Development of an E-learning Platform for Storage, Simulation and Online Experimentation of Models of Physiological Processes", in Interactive Collaborative Learning. ICL 2016, 2016 [publication]Alberto Cardoso and Teixeira, C. and Lobo, J. and Silva, M.C.G.d. and Rasteiro, M.G. and Menezes, P. and Restivo, M.T. and Urbano, D. and Chouzal, F. and Marques, J.C. and Abreu, P. and Andrade, T. and P. Gil and Palma, L. and Guerra, H. , "U-Academy – um projeto colaborativo para partilha e avaliação de recursos para cursos de Engenharia, suportados por experimentação online", in 3º Congresso Nacional e Práticas Pedagógicas no Ensino Superior, CNaPPES2016, 2016 2015(9 publications) [publication]Bandarabadi, M. and , J.R. and Teixeira, C. and António Dourado , "Epileptic Seizure Detection Using Bipolar Singular Value Decomposition", in Biosignals, 2015 [publication]Leal, A. and Teixeira, C. and Chouvarda, I. and Maglaveras, N. and Henriques, J. and Paiva, R.P. and P. Carvalho , "A multi-feature approach for noise detection in lung sounds", in International Conference on Biomedical and Health Informatics (ICBHI’2015), 2015 [publication]Mendes, L. and Chouvarda, I. and Maglaveras, N. and Teixeira, C. and P. Carvalho and Henriques, J. and Paiva, R.P. and al., e. , "Detection of wheezes using their signature in the spectrogram space and musical features", in 37th Int. 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[publication]Aguiar, K.d. and França, F. and Barbosa, V. and Teixeira, C. , "Early Detection of Epilepsy Seizures based on a Weightless Neural Network", in 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBS) , 2015 [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]Alberto Cardoso and Osório, D. and Leitão, J. and Sousa, V. and Graveto, V. and Teixeira, C. , "Demonstration of modeling and simulation of physiological processes using a remote lab", in 3rd Experiment@International Conference - exp.at'15, 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 [publication]Alberto Cardoso and Osório, D. and Leitão, J. and Sousa, V. and Graveto, V. and Teixeira, C. , "Demonstration of modeling and simulation of physiological processes using a remote lab", in 3rd Experiment@International Conference - exp.at'15, 2015 2014(9 publications) [publication]Bandarabadi, M. and , J.R. and Teixeira, C. and António Dourado , "Optimal preictal period in seizure prediction", in 2nd International Work-Conference on Bioinformatics and Biomedical Engineering-IWBBIO 2014, 2014 [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]Simões, R.J. and Kruger, M.A.V. and Pereira, W.C. . and Teixeira, C. , "A Coupled 4D Temperature-Changes on Backscatered Energy simulation model", in 6th European Conference of the International Federation for Medical and Biological Engineering (MBEC2014), 2014 [publication]Bandarabadi, M. and Teixeira, C. and Netoff, T. and Parhi, K.K. and António Dourado , "Robust and Low Complexity Algorithms for Seizure Detection", in 36th Annual International IEEE EMBS Conference, 2014 [citation][year=2015]Zhang, Zisheng, and Keshab K. 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Carvalho and Paiva, R.P. and Chételat, O. , "Combining Pervasive Technologies and Cloud Computing for COPD and Comorbidities Management", in 4th International Conference on Wireless Mobile Communication and Healthcare, 2014 [citation][year=2015]Chouvarda, Ioanna G., et al. "Connected health and integrated care: Toward new models for chronic disease management." Maturitas (2015). [citation][year=2015]Beredimas, Nikolaos, et al. "A reusable ontology for primitive and complex HL7 FHIR data types." Engineering in Medicine and Biology Society (EMBC), 2015 37th Annual International Conference of the IEEE. IEEE, 2015. [publication]Lúcio, C. and Teixeira, C. and Henriques, J. and P. Carvalho and Paiva, R.P. , "Voluntary Cough Detection by Internal Sound Analysis", in 7th International Conference on BioMedical Engineering and Informatics – BMEI 2014, 2014 [citation][year=2016]Pramono, R.X.A., Imtiaz, S.A. and Rodriguez-Villegas, E., 2016. A Cough-Based Algorithm for Automatic Diagnosis of Pertussis. PloS one, 11(9), p.e0162128. [publication]Mendes, L. and P. Carvalho and Teixeira, C. and Paiva, R.P. and Henriques, J. , "Robust features for detection of crackles: an exploratory study", in 36th Int. Conf. of the IEEE Engineering in Medicine and Biology Society – EMBC’2014, 2014 [citation][year=2016]Chouvarda, I., Kilintzis, V., Beredimas, N., Natsiavas, P., Perantoni, E., Vogiatzis, I., Vaimakakis, V. and Maglaveras, N., 2016, February. Clinical flows and decision support systems for co-ordinated and integrated care in COPD. In Biomedical and Health Informatics (BHI), 2016 IEEE-EMBS International Conference on (pp. 477-480). IEEE. [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(8 publications) [publication]Teixeira, C. and Fontes, A. and Kruger, M.A.V. and Alvarenga, A. and Pereira, W.C. . , "Expressiveness of temperature-induced changes in backscattered energy in conventional B-mode images", in International Congress on Acoustics, 2013 [publication]Bandarabadi, M. and António Dourado and Teixeira, C. and Netoff, T. and Parhi, K.K. , "Seizure Prediction with Bipolar Spectral Power Features using Adaboost and SVM Classifiers", in EMBC'13, 2013 [citation][year=2016]Goldfarb-Rumyantzev, A., Gautam, S. and Brown, R.S., 2016. Practical prediction model for the risk of 2-year mortality of individuals in the general population. Journal of Investigative Medicine, pp.jim-2015. 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[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]Ruano M G and Duarte, H.S. and Teixeira, C. , "Tissue Temperature Estimation With Pulse-Echo in Blood Flow Presence", in IEEE International Symposium on Intelligent Signal Processing, 2013 [citation][year=2015]Duarte, H. Simoes, Andre Santos, and M. Graca Ruano. "Spatial monitoring of temperature estimation during ultrasound heating therapy." Bioengineering (ENBENG), 2015 IEEE 4th Portuguese Meeting on. IEEE, 2015. [citation][year=2014]Ruano, M. Graça, and Helder S. Duarte. "Estimating temperature in perfused tissue phantoms subject to ultrasound heating." World Congress. Vol. 19. No. 1. 2014. [publication]Bandarabadi, M. and , J.R. and Teixeira, C. and António Dourado , "Sub-band mean phase coherence for epileptic seizure detection", in IFMBE International Conference on Health Informatics, 2013 [publication]Teixeira, C. and Ruano M G and Pereira, W.C. . , "An interpolation-free and fitting-less sub-sample time-delay estimation algorithm", in IFMBE International Conference on Health Informatics, 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(7 publications) [publication]António Dourado and Alberto Cardoso and Henriques, J. and Teixeira, C. , "Systems and Control for Biomedical Engineering Students", in 9th IFAC Symposium Advances in Control Education, 2012 [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. 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[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. [publication]Behbahani, S. and Dabanloo, N.J. and Nasrabadi, A.M. and Attarodi, G. and Teixeira, C. and António Dourado , "Epileptic Seizures Behaviors from the Perspective of Heart Rate Variability", in Computing in Cardiology, 2012 [citation][year=2015]P2P Data synchronization for product lifecycle management S Kubler, K Främling, W Derigent - Computers in Industry, 2015 - Elsevier Abstract Intelligent products are an undeniable asset for efficient product lifecycle management (PLM), providing ways to capture events related to physical objects at various locations and times. Today and more than ever before, PLM tools and systems must be ... [publication]Alvarenga, A. and Teixeira, C. and Kruger, M.A.V. and Pereira, W.C. . , "Non-Invasive Assessment of Temperature Variation in Ex-vivo Renal Tissue by Tracking Average Grey-Level from B-Mode Images", in 2012 IEEE International Ultrasonics Symposium, 2012 [publication]Ruano M G and Teixeira, C. and Rahmati, J.J. , "Characterization of Temperature-Dependent Echo-Shifts and Backscattered Energy Induced by Thermal Ultrasound", in 5th International Workshop on Soft Computing Applications, 2012 2011(9 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]Ventura, F. and Teixeira, C. and António Dourado , "Multiobjective support vector machines optimization for epileptic seizure prediction", in Panamerican Health Care Exanges, 2011 [publication]Teixeira, C. and Alvarenga, A. and Pereira, W.C. . , "On the reproducibility of the average gray-level for noninvasive temperature estimation in the hyperthermia range", in Panamerican Health Care Exanges, 2011 [publication]Ruano M G and Teixeira, C. , "Noise cancellation technique for Dopper ultrasound spectrogram enhancement", in Panamerican Health Care Exanges, 2011 [citation][year=2013]Graca Ruano, M., H. Simoes Duarte, and C. A. Teixeira. "Tissue temperature estimation with pulse-echo in blood flow presence." Intelligent Signal Processing (WISP), 2013 IEEE 8th International Symposium on. IEEE, 2013. [citation][year=2011]Zabihian, Behrooz, and M. Graça Ruano. "Enhancing time-frequency parameters estimation for Doppler Ultrasound blood-flow signals." Intelligent Signal Processing (WISP), 2011 IEEE 7th International Symposium on. IEEE, 2011. [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. [publication]Bandarabadi, M. and Teixeira, C. and António Dourado , "Wepilet, Optimal Orthogonal Wavelets for Epileptic Seizure Prediction with one Single Surface Channel", in EMBC-2011, 33nd Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2011 [citation][year=2015]Genetic programming and frequent itemset mining to identify feature selection patterns of iEEG and fMRI epilepsy data O Smart, L Burrell - Engineering applications of artificial intelligence, 2015 - Elsevier Abstract Pattern classification for intracranial electroencephalogram (iEEG) and functional magnetic resonance imaging (fMRI) signals has furthered epilepsy research toward understanding the origin of epileptic seizures and localizing dysfunctional brain tissue for ... [citation][year=2014]YADOLLAHPOUR, ALI, and MOSTAFA JALILIFAR. "Seizure Prediction Methods: A Review of the Current Predicting Techniques." Studies 153: 7. [citation][year=2014]Smart, Otis, and Lauren Burrell. "Genetic programming and frequent itemset mining to identify feature selection patterns of iEEG and fMRI epilepsy data." Engineering Applications of Artificial Intelligence 39 (2015): 198-214. [publication]Alvarenga, A. and Teixeira, C. and Pereira, W.C. . and Kruger, M.A.V. and Cortela, G. , "Non-invasive Temperature Assessment at Different Tissue Types Based on Average Gray-Level from B-Mode Ultrasonic Images", in International Congress on Ultrasonics, 2011 [publication]Zabihian, B. and Teixeira, C. and Ruano M G , "Noise Cancellation Technique for Doppler Ultrasound Spectrogram Enhancement", in Proceedings of Pan American Health Care Exchanges (PAHCE), 2011 2010(4 publications) [publication]Teixeira, C. and Alvarenga, A. and Pereira, W.C. . , "Is the Average Gray-Level from Ultrasound B-Mode Images Able to Estimate Temperature Variations in Ex-Vivo Tissue?", in 12nd Mediterranean Conference on Medical and Biological Engineering and Computing - MEDICON2010, 2010 [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 [publication]Alvarenga, A. and Teixeira, C. and Pereira, W.C. . , "B-mode images in estimating non-invasive temperature increase in ex-vivo tissue during ultrasound therapy", in XXII Congresso Brasileriro de Engenharia Biomédica, 2010 [publication]Alvarenga, A. and Teixeira, C. and Ruano M G and Pereira, W.C. . , "Evaluation of the influence of large temperature variations on the grey level content of B-mode images", in In physics Procedia(International Congress on Ultrasonics), 2010 [citation][year=2015]Lewis, Matthew A., Robert M. Staruch, and Rajiv Chopra. "Thermometry and ablation monitoring with ultrasound." International Journal of Hyperthermia 31.2 (2015): 163-181. [citation][year=2012]Zhong, J., Liu, W., Du, Z., de Morais, P., Xiang, Q., and Xie, Q. A noninvasive, remote and pre- cise method for temperature and concentration estimation using magnetic nanoparticles. Nanotechnology 23, 7 (2012), 075703 2009(5 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]Ruano M G and Teixeira, C. and Medeiros, M.C. and Fernandes, A.J.A. , "A scalable and open source linear positioning system controller", in International Conference on Biomedical Electronics and Devices, 2009 [publication]Teixeira, C. and Ruano M G and Pereira, W.C. . , "On the assessment of time-shift variations from backscattered ultrasound for large temperature changes in biological phantoms", in International Congress on Ultrasonics-ICU’09, 2009 [publication]Alvarenga, A. and Teixeira, C. and Ruano M G and Pereira, W.C. . , "Evaluation of the influence of large temperature variations on the gray level content of B-Mode images", in International Congress on Ultrasonics-ICU’09, 2009 Edited Books 2018(1 publication) [publication]Alberto Cardoso and Teixeira, C. and Henriques, J. and P. Gil and Guerra, H. and Garcia, A.M. and Ribeiro, B. and Leite, F.S. and Araújo, R. ,Proceedings of the 13th APCA - International Conference on Automatic Control and Soft-Computing – CONTROLO 2018 , "Proc. of the 13th APCA - International Conference on Automatic Control and Soft-Computing – CONTROLO 2018", vol. 1, 2018 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 ... 2013(1 publication) [publication]Ruano M G and Teixeira, C. and Rahmati, J.J. , "Characterization of Temperature-Dependent Echo-Shifts and Backscattered Energy Induced by Thermal Ultrasound", in Soft Computing Applications, vol. 195, pp. 421-431, 2013 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 2009(1 publication) [publication]Teixeira, C. and Pereira, W.C. . and Ruano M G and Ruano, A. , "4. Métodos de Soft Computing para la Estimación no Invasiva de la Temperatura en Medios Multicapa Empleando Ultrasonido Retrodisperso", in Métodos de Procesamiento Avanzado e Inteligencia Artificial en Sistemas Sensores y Biosensores , vol. 1, pp. 445-461, 2009 MSc Theses 2017(1 publication) [publication]Ribeiro, D. and Alberto Cardoso and Teixeira, C. , "Desenvolvimento de Sistemas para Recolha, Processamento e Análise de Sinal de EEG para Deteção de Sonolência ", 2017 2016(2 publications) [publication]Oliveira, C. and Alberto Cardoso and Teixeira, C. , "Desenvolvimento de uma Plataforma para Armazenamento, Simulação e Experimentação Remota e Virtual de Processos Fisiológicos", 2016 [publication]Lourenço, D. and Alberto Cardoso and Teixeira, C. , "Desenvolvimento de Sistema para Recolha, Armazenamento, Processamento e Análise de Sinais Biométricos para Classificação de Processos Fisiológicos", 2016 2015(2 publications) [publication]Osório, D. and Alberto Cardoso and Teixeira, C. , "Desenvolvimento de Sistema para Suporte à Modelização Computacional e à Representação Experimental de Processos Fisiológicos", 2015 [publication]Martins, D. and Teixeira, C. and Alberto Cardoso , "A Circuit based on Communication Systems for Anesthesia Monitoring", 2015