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Epileptic Seizures And The Eeg

Author: Andrea Varsavsky
Publisher: CRC Press
ISBN: 1439812047
Size: 61.86 MB
Format: PDF, Kindle
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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.

Brain Informatics And Health

Author: Giorgio A. Ascoli
Publisher: Springer
ISBN: 3319471031
Size: 54.86 MB
Format: PDF, ePub
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This book constitutes the refereed proceedings of the International Conference on Brain and Health Informatics, BHI 2016, held in Omaha, USA, in October 2016. The 37 revised full papers, including two workshop papers from BAI 2016, presented were carefully reviewed and selected for inclusion in the book. The papers are organized in topical sections on cognitive and computational foundations of brain science; investigations of human information processing systems; brain big data analytics, curation and management; new methodologies for brain and mental health; brain-inspired intelligence and computing; brain and artificial intelligence.

Proceedings Of The International Conference On Data Engineering And Communication Technology

Author: Suresh Chandra Satapathy
Publisher: Springer
ISBN: 981101678X
Size: 41.42 MB
Format: PDF
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This two-volume book contains research work presented at the First International Conference on Data Engineering and Communication Technology (ICDECT) held during March 10–11, 2016 at Lavasa, Pune, Maharashtra, India. The book discusses recent research technologies and applications in the field of Computer Science, Electrical and Electronics Engineering. The aim of the Proceedings is to provide cutting-edge developments taking place in the field data engineering and communication technologies which will assist the researchers and practitioners from both academia as well as industry to advance their field of study.

Nonlinear Analysis In Neuroscience And Behavioral Research

Author: Tobias A. Mattei
Publisher: Frontiers Media SA
ISBN: 2889199967
Size: 14.71 MB
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Although nonlinear dynamics have been mastered by physicists and mathematicians for a long time (as most physical systems are inherently nonlinear in nature), the recent successful application of nonlinear methods to modeling and predicting several evolutionary, ecological, physiological, and biochemical processes has generated great interest and enthusiasm among researchers in computational neuroscience and cognitive psychology. Additionally, in the last years it has been demonstrated that nonlinear analysis can be successfully used to model not only basic cellular and molecular data but also complex cognitive processes and behavioral interactions. The theoretical features of nonlinear systems (such unstable periodic orbits, period-doubling bifurcations and phase space dynamics) have already been successfully applied by several research groups to analyze the behavior of a variety of neuronal and cognitive processes. Additionally the concept of strange attractors has lead to a new understanding of information processing which considers higher cognitive functions (such as language, attention, memory and decision making) as complex systems emerging from the dynamic interaction between parallel streams of information flowing between highly interconnected neuronal clusters organized in a widely distributed circuit and modulated by key central nodes. Furthermore, the paradigm of self-organization derived from the nonlinear dynamics theory has offered an interesting account of the phenomenon of emergence of new complex cognitive structures from random and non-deterministic patterns, similarly to what has been previously observed in nonlinear studies of fluid dynamics. Finally, the challenges of coupling massive amount of data related to brain function generated from new research fields in experimental neuroscience (such as magnetoencephalography, optogenetics and single-cell intra-operative recordings of neuronal activity) have generated the necessity of new research strategies which incorporate complex pattern analysis as an important feature of their algorithms. Up to now nonlinear dynamics has already been successfully employed to model both basic single and multiple neurons activity (such as single-cell firing patterns, neural networks synchronization, autonomic activity, electroencephalographic measurements, and noise modulation in the cerebellum), as well as higher cognitive functions and complex psychiatric disorders. Similarly, previous experimental studies have suggested that several cognitive functions can be successfully modeled with basis on the transient activity of large-scale brain networks in the presence of noise. Such studies have demonstrated that it is possible to represent typical decision-making paradigms of neuroeconomics by dynamic models governed by ordinary differential equations with a finite number of possibilities at the decision points and basic heuristic rules which incorporate variable degrees of uncertainty. This e-book has include frontline research in computational neuroscience and cognitive psychology involving applications of nonlinear analysis, especially regarding the representation and modeling of complex neural and cognitive systems. Several experts teams around the world have provided frontline theoretical and experimental contributions (as well as reviews, perspectives and commentaries) in the fields of nonlinear modeling of cognitive systems, chaotic dynamics in computational neuroscience, fractal analysis of biological brain data, nonlinear dynamics in neural networks research, nonlinear and fuzzy logics in complex neural systems, nonlinear analysis of psychiatric disorders and dynamic modeling of sensorimotor coordination. Rather than a comprehensive compilation of the possible topics in neuroscience and cognitive research to which non-linear may be used, this e-book intends to provide some illustrative examples of the broad range of

The Revolutions Of Scientific Structure

Author: Colin G Hales
Publisher: World Scientific
ISBN: 9814616265
Size: 31.89 MB
Format: PDF
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This book discusses two main cultural problems behind the failure of machine consciousness and artificial general intelligence (AGI) projects over many decades. The first problem recognizes that building a conscious AGI means building an artificial scientist. The book identifies the responsible pitfalls in mainstream scientific behavior and eliminates them by proposing a new operational framework for scientists called “Dual Aspect Science”. The second problem arises because scholars involved in machine consciousness and AGI essentially aim to replicate brains with computers. They are demonstrably not doing this, and this failure has been prevalent since the rise of computers. Instead, the book discusses the possibility of doing real empirical neuroscience by means of artificial materials that literally do what the brain does. Inspired by Thomas Kuhn, one of the most influential philosophers of science of the twentieth century, this compendium proposes a fresh perspective on machine consciousness, on AGI and, more generally, on how the machinery of science might need to change to accommodate it. Contents:PreambleIntroductionConsciousnessThe Route to Normal Science‘Normal’ ScienceThe Great BlockageCultural Learning Theory for ScientistsThe ‘Law of Scientific Behaviour’The Biology of Belief: Statement FormationHierarchy, Emergence and CausalityDual Aspect ScienceScientifically Testing for ConsciousnessThe Kuhnian Take: Wrapping UpMachine Consciousness and DAS Readership: Researchers, academics, professionals and graduate students in artificial intelligence, robotics, neuroscience, computational physics and nonlinear science. Keywords:Science;Neuroscience;Science of Consciousness;Machine Consciousness

Recent Advances In Predicting And Preventing Epileptic Seizures

Author: Ronald Tetzlaff
Publisher: World Scientific Publishing Company Incorporated
ISBN: 9789814525343
Size: 38.96 MB
Format: PDF, ePub, Docs
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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.

Computational Neuroscience In Epilepsy

Author: Ivan Soltesz
Publisher: Academic Press
ISBN: 9780080559537
Size: 16.71 MB
Format: PDF, ePub, Mobi
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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

Biomedical Image Analysis And Mining Techniques For Improved Health Outcomes

Author: Karâa, Wahiba Ben Abdessalem
Publisher: IGI Global
ISBN: 1466688122
Size: 57.19 MB
Format: PDF, Kindle
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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.

Epilepsy An Issue Of Neurosurgery Clinics E Book

Author: Edward F. Chang
Publisher: Elsevier Health Sciences
ISBN: 1455712140
Size: 57.54 MB
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In this issue of Neurosurgery Clinics, Drs. Chang and Barbaro provide a thorough look at epilepsy, with sections focusing on devices in epilepsy surgery, open loop systems, closed loop systems, and non-stimulation. Topics in this issue include history and overview of stimulation for epilepsy, trigeminal nerve stimulation, anterior thalamus DBS, hippocampal stimulation, neuropace RNS, seizure detection/prediction algorithms, cooling, seizure prediction and its applications, stimulation paradigms, and experimental stimulation.

Recent Advances In Predicting And Preventing Epileptic Seizures

Author: Ronald Tetzlaff
Publisher: World Scientific
ISBN: 9814525367
Size: 26.64 MB
Format: PDF, Kindle
View: 7648
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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