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Seizure Prediction in Epilepsy
Author: Björn Schelter, Jens Timmer, Andreas Schulze-Bonhage
Publisher: John Wiley & Sons
ISBN: 3527625208
Pages: 369
Year: 2008-11-21
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Comprising some 30 contributions, experts from around the world present and discuss recent advances related to seizure prediction in epilepsy. The book covers an extraordinarily broad spectrum, starting from modeling epilepsy in single cells or networks of a few cells to precisely-tailored seizure prediction techniques as applied to human data. This unique overview of our current level of knowledge and future perspectives provides theoreticians as well as practitioners, newcomers and experts with an up-to-date survey of developments in this important field of research.
Seizure Prediction in Epilepsy
Author: Björn Schelter, Jens Timmer, Andreas Schulze-Bonhage
Publisher: John Wiley & Sons
ISBN: 3527407561
Pages: 334
Year: 2008-10-13
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Comprising some 30 contributions, experts from around the world present and discuss recent advances related to seizure prediction in epilepsy. The book covers an extraordinarily broad spectrum, starting from modeling epilepsy in single cells or networks of a few cells to precisely-tailored seizure prediction techniques as applied to human data. This unique overview of our current level of knowledge and future perspectives provides theoreticians as well as practitioners, newcomers and experts with an up-to-date survey of developments in this important field of research.
Recent Advances in Predicting and Preventing Epileptic Seizures
Author: Ronald Tetzlaff, Christian E Elger, Klaus Lehnertz
Publisher: World Scientific
ISBN: 9814525367
Pages: 304
Year: 2013-08-28
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This book is to improve our understanding of mechanisms leading to seizures in humans and in developing new therapeutic options. The book covers topics such as recent approaches to seizure control, recent developments in signal processing of interest for seizure prediction, ictogenesis in complex epileptic brain networks, active probing of the pre-seizure state, non-EEG based approaches to the transition to seizures, microseizures and their role in the generation of clinical seizures, the impact of sleep and long-biological cycles on seizure prediction, as well as animal and computational models of seizures and epilepsy. Furthermore the book covers recent developments of international databases and of parallel computing structures based on Cellular Nonlinear Networks that can play an important role in the realization of a portable seizure warning device. Contents:Epileptic Networks and Their Role for Seizure Prediction and Seizure Control:Transition Into and Out of a Focal Seizure (M de Curtis)Neuronal and Network Dynamics Preceding Experimental Seizures (P Jiruska, F Mormann and J G R Jefferys)Interictal EEG and Its Relevance for Seizure Prediction (A Schulze-Bonhage)Invasive Brain Stimulation in the Treatment of Epilepsy (M Sprengers, R Raedt, A Meurs, E Carrette, D van Roost, P Boon and K Vonck)Computational Models of Seizures and Epilepsy:Patient-Specific Neural Mass Modeling — Stochastic and Deterministic Methods (D R Freestone, L Kuhlmann, M S Chong, D Nesic and D B Grayden)Computational Modelling of Microseizures and Focal Seizure Onset (Y Wang, M Goodfellow, P N Taylor, D J Garry and G Baier)Predictability of Seizure-Like Events in a Complex Network Model of Integrate-and-Fire Neurons (A Rothkegel and K Lehnertz)Bursting and Synchrony in Networks of Model Neurons (C Geier, A Rothkegel and K Lehnertz)Advances in Analysis and Measurement Techniques:Signal Processing of the EEG: Approaches Tailored to Epilepsy (B Schelter, M Thiel, M Mader and W Mader)From Time Series to Complex Networks: An Overview (S Bialonski and K Lehnertz)Visualizing and Quantifying EEG Complexity on the Base of Ordinal Pattern Distributions (K Keller)Dynamics of Linear and Nonlinear Interrelation Networks in Peri-Ictal Intracranial EEG: Seizure Onset and Termination (C Rummel, M Müller, M Hauf, R Wiest and K Schindler)On the Centrality of the Focus in Human Epileptic Brain Networks (C Geier, M-T Kuhnert, C E Elger and K Lehnertz)Pre-Seizure States in Epileptic Brain Nnetworks: A Surrogate-Assisted, Weighted Network Analysis (G Ansmann, M-T Kuhnert, C E Elger and K Lehnertz)Network Analysis of Generalized Epileptic Discharges (P Ossenblok, P van Houdt, A Lüttjohann and G van Luijtelaar)Signal Processing Platform Based on Cellular Nonlinear Networks (J Müller, J Müller, R Becker and R Tetzlaff)Seizure Prediction by Cellular Nonlinear Networks? (V Senger and R Tetzlaff)Measuring Directed Interactions Using Cellular Neural Networks with Complex Connection Topologies (H Dickten, C E Elger and K Lehnertz)Seizure Prediction Using Optical Measurements of Blood Flow and Oxygenation (M Zhao, H Ma and T H Schwartz)Observing the Sleep-Wake Regulatory System to Improve Prediction of Seizures (M Sedigh-Sarvestani and B J Gluckman)The World's Largest Epilepsy Database: Content and Structure (M Ihle, B Schelter, J Timmer and A Schulze-Bonhage) Readership: Graduate students and professionals in the field of epileptology, neurosurgery and neuroscience. Keywords:Epileptic Networks;Seizure Prediction;Seizure Control;Computational Models;EpilepsyKey Features:Provides latest findings in the field of epilepsy research
Epileptic Seizures and the EEG
Author: Andrea Varsavsky, Iven Mareels, Mark Cook
Publisher: CRC Press
ISBN: 1439812047
Pages: 370
Year: 2016-04-19
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Analysis of medical data using engineering tools is a rapidly growing area, both in research and in industry, yet few texts exist that address the problem from an interdisciplinary perspective. Epileptic Seizures and the EEG: Measurement, Models, Detection and Prediction brings together biology and engineering practices and identifies the aspects of the field that are most important to the analysis of epilepsy. Analysis of EEG records The book begins by summarizing the physiology and the fundamental ideas behind the measurement, analysis and modeling of the epileptic brain. It introduces the EEG as a measured signal and explains its use in the study of epilepsy. Next, it provides an explanation of the type of brain activity likely to register in EEG measurements, offering quantitative analysis of the populations of neurons that contribute to both scalp and cortical EEG and discussing the limitations and effects that choices made in the recording process have on the data. The book provides an overview of how these EEG records are and have been analyzed in the past, concentrating on the mathematics relevant to the problem of classification of EEG. The authors use these extracted features to differentiate between or classify inter-seizure, pre-seizure and seizure EEG. The challenge of seizure prediction The book focuses on the problem of seizure detection and surveys the physiologically based dynamic models of brain activity. Finally, the book addresses the fundamental question: can seizures be predicted? Through analysis of epileptic activity spanning from 3 hours to 25 years, it is proposed that seizures may be predictable, but the amount of data required is greater than previously thought. Based on the authors’ extensive research, the book concludes by exploring a range of future possibilities in seizure prediction.
Author: Ivan Osorio, Hitten P. Zaveri, Mark G. Frei, Susan Arthurs
Publisher: CRC Press
ISBN: 1439838860
Pages: 578
Year: 2016-04-19
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Epilepsy, one of the most prevalent neurological disorders, affects approximately 1% (greater than 60 million) of the world's population. In an estimated 20 million of these patients, seizures are not controlled even by multiple anti-seizure drugs, and are extremely difficult to predict. Epilepsy: The Intersection of Neurosciences, Biology, Mathematics, Engineering, and Physics seamlessly brings together the neurosciences, mathematics, computational sciences, engineering, physics, and clinical epileptology to present to readers a highly didactic, integrated, clear and practically useful knowledge base and research directions. Laying out the foundations of signal analysis, data conditioning, linear and non-linear analysis, introduction to dynamical systems and fundamental anatomical and neurophysiological concepts, this book: Introduces non-physicians to language and concepts necessary to establish a meaningful dialog with epileptologists Introduces physicians to dynamical theory and signal processing without which interdisciplinary collaborations would not be productive Mines knowledge from fields devoted to the investigation of aperiodic paroxysmal relaxation phenomena, such as earthquakes, which bear dynamical similarities with epilepsy, so as to lay the proper scientific foundations for epileptology and foster much needed therapeutic advances efficiently Reviews spatiotemporal behavior of seizures, mechanisms of epileptogenesis and ictogenesis as well as of seizure control and ancillary technology Calls attention to nocturnal frontal lobe epilepsy as a potentially fruitful paradigm for advancing seizure prediction. Of all neurological disorders, epilepsy demands of investigators the broadest and deepest knowledge of dynamical, control, and system theories, knowledge that cannot be amassed without possessing a certain level of sophistication in relevant areas of neurosciences, physics, mathematics, and engineering. Narrowing the inescapable cultural chasm that commonly fragments multidisciplinary efforts, this book captures and enriches the burgeoning interdisciplinary synergism in the nascent field of dynamical epileptology.
Computational Neuroscience in Epilepsy
Author: Ivan Soltesz, Kevin Staley
Publisher: Academic Press
ISBN: 0080559530
Pages: 624
Year: 2011-09-02
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Epilepsy is a neurological disorder that affects millions of patients worldwide and arises from the concurrent action of multiple pathophysiological processes. The power of mathematical analysis and computational modeling is increasingly utilized in basic and clinical epilepsy research to better understand the relative importance of the multi-faceted, seizure-related changes taking place in the brain during an epileptic seizure. This groundbreaking book is designed to synthesize the current ideas and future directions of the emerging discipline of computational epilepsy research. Chapters address relevant basic questions (e.g., neuronal gain control) as well as long-standing, critically important clinical challenges (e.g., seizure prediction). Computational Neuroscience in Epilepsy should be of high interest to a wide range of readers, including undergraduate and graduate students, postdoctoral fellows and faculty working in the fields of basic or clinical neuroscience, epilepsy research, computational modeling and bioengineering. Covers a wide range of topics from molecular to seizure predictions and brain implants to control seizures Contributors are top experts at the forefront of computational epilepsy research Chapter contents are highly relevant to both basic and clinical epilepsy researchers
Epilepsy as a Dynamic Disease
Author: John Milton, Peter Jung
Publisher: Springer Science & Business Media
ISBN: 366205048X
Pages: 417
Year: 2013-04-17
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The first book to bring together experts in epilepsy, bio-engineering and dynamical systems theory, to discuss the possibility of treating epilepsy by controlling mechanisms that cause seizures. It includes a unique reference database with more than 1000 references, including hard-to-access references in the Russian literature.
Quantitative Neuroscience
Author: Panos M. Pardalos, J. Chris Sackellares, Paul R. Carney, Leon D. Iasemidis
Publisher: Springer Science & Business Media
ISBN: 1402077513
Pages: 262
Year: 2004-01-31
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Advances in the field of signal processing, nonlinear dynamics, statistics, and optimization theory, combined with marked improvement in instrumenta tion and development of computers systems, have made it possible to apply the power of mathematics to the task of understanding the human brain. This verita ble revolution already has resulted in widespread availability of high resolution neuroimaging devices in clinical as well as research settings. Breakthroughs in functional imaging are not far behind. Mathematical tech niques developed for the study of complex nonlinear systems and chaos already are being used to explore the complex nonlinear dynamics of human brain phys iology. Global optimization is being applied to data mining expeditions in an effort to find knowledge in the vast amount of information being generated by neuroimaging and neurophysiological investigations. These breakthroughs in the ability to obtain, store and analyze large datasets offer, for the first time, exciting opportunities to explore the mechanisms underlying normal brain func tion as well as the affects of diseases such as epilepsy, sleep disorders, movement disorders, and cognitive disorders that affect millions of people every year. Ap plication of these powerful tools to the study of the human brain requires, by necessity, collaboration among scientists, engineers, neurobiologists and clini cians. Each discipline brings to the table unique knowledge, unique approaches to problem solving, and a unique language.
Spatiotemporal Brain Dynamics in Epilepsy
Author: Shivkumar Sabesan
Publisher: Proquest, UMI Dissertation Publishing
ISBN: 1243550740
Pages: 138
Year: 2011-09
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Enjoy a wide range of dissertations and theses published from graduate schools and universities from around the world. Covering a wide range of academic topics, we are happy to increase overall global access to these works and make them available outside of traditional academic databases. These works are packaged and produced by BiblioLabs under license by ProQuest UMI. The description for these dissertations was produced by BiblioLabs and is in no way affiliated with, in connection with, or representative of the abstract meta-data associated with the dissertations published by ProQuest UMI. If you have any questions relating to this particular dissertation, you may contact BiblioLabs directly.
Adaptive and Natural Computing Algorithms
Author: Bartlomiej Beliczynski, Andrzej Dzielinski, Marcin Iwanowski, Bernadete Ribeiro
Publisher: Springer
ISBN: 3540716181
Pages: 854
Year: 2007-07-03
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This two volume set constitutes the refereed proceedings of the 8th International Conference on Adaptive and Natural Computing Algorithms, ICANNGA 2007, held in Warsaw, Poland, in April 2007. Coverage in the first volume includes evolutionary computation, genetic algorithms, and particle swarm optimization. The second volume covers neural networks, support vector machines, biomedical signal and image processing, biometrics, computer vision.
2016 XXI Symposium on Signal Processing, Images and Artificial Vision (STSIVA)
Author: IEEE Staff
ISBN: 1509037985
Year: 2016-08-31
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The XXI Symposium on Image, Signal Processing and Artificial Vision (STSIVA 2016) is the most traditional academic event specialized on signal processing in Colombia The symposium program will feature high profile keynote lectures, workshops, oral and poster sessions, and exhibitions In three days we will gather researchers, students and entrepreneurs to discuss issues focusing on signal and image processing and computer vision
Automated Seizure Prediction and Control in a Rat Model of Chronic Epilepsy
Author: Levi Bogacz Good
Pages: 244
Year: 2007
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Biomedical Image Analysis and Mining Techniques for Improved Health Outcomes
Author: Karâa, Wahiba Ben Abdessalem
Publisher: IGI Global
ISBN: 1466688122
Pages: 335
Year: 2015-11-03
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Every second, users produce large amounts of image data from medical and satellite imaging systems. Image mining techniques that are capable of extracting useful information from image data are becoming increasingly useful, especially in medicine and the health sciences. Biomedical Image Analysis and Mining Techniques for Improved Health Outcomes addresses major techniques regarding image processing as a tool for disease identification and diagnosis, as well as treatment recommendation. Highlighting current research intended to advance the medical field, this publication is essential for use by researchers, advanced-level students, academicians, medical professionals, and technology developers. An essential addition to the reference material available in the field of medicine, this timely publication covers a range of applied research on data mining, image processing, computational simulation, data visualization, and image retrieval.
Puzzling Cases of Epilepsy
Author: Dieter Schmidt, Steven C. Schachter
Publisher: Elsevier
ISBN: 0080559549
Pages: 544
Year: 2011-04-28
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Epilepsy is one of the most common neurological disorders, and original observations in the field are often the key to diagnosis and successful treatment. Physicians new to the field as well as seasoned practitioners will benefit from more than one hundred case vignettes that explore the universe of epilepsy as it presents in daily practice. Some of these cases challenge long-held views about epilepsy and others bring the reader to the limits of our understanding of epilepsy, both in clinical and basic science. To improve the interface of clinical and basic science in epilepsy, basic scientists comment on the potential mechanisms underlying clinical observations, and clinicians assess the potential impact of recent results of experiments in the laboratory. Puzzling Cases of Epilepsy highlights the importance that original observations have in inspiring both new treatments and continued research. Presents unique and challenging case vignettes in epilepsy contributed by eminent physicians in the field Provides practicing physicians with examples of how baffling cases were handled and solved A new section provides a translational perspective, with basic scientists discussing the potential mechanisms underlying original clinical observations, and clinical scientists discussing the clinical implications of experiments in the epilepsy laboratory
Author: Panos M. Pardalos, J.C. Principe
Publisher: Springer Science & Business Media
ISBN: 1461302595
Pages: 264
Year: 2013-12-01
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In the quest to understand and model the healthy or sick human body, re searchers and medical doctors are utilizing more and more quantitative tools and techniques. This trend is pushing the envelope of a new field we call Biomedical Computing, as an exciting frontier among signal processing, pattern recognition, optimization, nonlinear dynamics, computer science and biology, chemistry and medicine. A conference on Biocomputing was held during February 25-27, 2001 at the University of Florida. The conference was sponsored by the Center for Applied Optimization, the Computational Neuroengineering Center, the Biomedical En gineering Program (through a Whitaker Foundation grant), the Brain Institute, the School of Engineering, and the University of Florida Research & Graduate Programs. The conference provided a forum for researchers to discuss and present new directions in Biocomputing. The well-attended three days event was highlighted by the presence of top researchers in the field who presented their work in Biocomputing. This volume contains a selective collection of ref ereed papers based on talks presented at this conference. You will find seminal contributions in genomics, global optimization, computational neuroscience, FMRI, brain dynamics, epileptic seizure prediction and cancer diagnostics. We would like to take the opportunity to thank the sponsors, the authors of the papers, the anonymous referees, and Kluwer Academic Publishers for making the conference successful and the publication of this volume possible. Panos M. Pardalos and Jose C.