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Automated Eeg Based Diagnosis Of Neurological Disorders

Author: Hojjat Adeli
Publisher: CRC Press
ISBN: 9781439815328
Size: 60.21 MB
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Based on the authors’ groundbreaking research, Automated EEG-Based Diagnosis of Neurological Disorders: Inventing the Future of Neurology presents a research ideology, a novel multi-paradigm methodology, and advanced computational models for the automated EEG-based diagnosis of neurological disorders. It is based on the ingenious integration of three different computing technologies and problem-solving paradigms: neural networks, wavelets, and chaos theory. The book also includes three introductory chapters that familiarize readers with these three distinct paradigms. After extensive research and the discovery of relevant mathematical markers, the authors present a methodology for epilepsy diagnosis and seizure detection that offers an exceptional accuracy rate of 96 percent. They examine technology that has the potential to impact and transform neurology practice in a significant way. They also include some preliminary results towards EEG-based diagnosis of Alzheimer’s disease. The methodology presented in the book is especially versatile and can be adapted and applied for the diagnosis of other brain disorders. The senior author is currently extending the new technology to diagnosis of ADHD and autism. A second contribution made by the book is its presentation and advancement of Spiking Neural Networks as the seminal foundation of a more realistic and plausible third generation neural network.

Future Generation Information Technology

Author: Jung-Hyun Lee
Publisher: Springer
ISBN: 3642175694
Size: 27.46 MB
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As information technology (IT) becomes specialized and fragmented, it is easy to lose sight that many topics have common threads and because of this, advances in one s- discipline may transmit to another. The presentation of results between different s- disciplines encourages this interchange for the advancement of IT as a whole. This volume comprises the selection of papers presented at the Second International Mega-Conference on Future Generation Information Technology (FGIT 2010), composed of the following 11 international conferences: Advanced Software Engineering and Its Applications (ASEA 2010), Bio-Science and Bio- Technology (BSBT 2010), Control and Automation (CA 2010), Disaster Recovery and Business Continuity (DRBC 2010), Database Theory and Application (DTA 2010), Future Generation Communication and Networking (FGCN 2010), Grid and Distributed Computing (GDC 2010), Multimedia, Computer Graphics and Broadcasting (MulGraB 2010), Security Technology (SecTech 2010), Signal Processing, Image Processing and Pattern Recognition (SIP 2010), as well as u- and e-Service, Science and Technology (UNESST 2010). In total, 1,630 papers were submitted to FGIT 2010 from 30 countries. The submitted papers went through a rigorous reviewing process and 395 papers were accepted. Of these 395 papers, 60 were assigned to this volume. In addition, this volume contains 7 invited papers and abstracts. Of the remaining accepted papers, 269 were distributed among 8 volumes of proceedings published by Springer in the CCIS series. 66 papers were withdrawn due to technical reasons.

Neural Information Processing

Author: Akira Hirose
Publisher: Springer
ISBN: 331946681X
Size: 41.92 MB
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The four volume set LNCS 9947, LNCS 9948, LNCS 9949, and LNCS 9950 constitues the proceedings of the 23rd International Conference on Neural Information Processing, ICONIP 2016, held in Kyoto, Japan, in October 2016. The 296 full papers presented were carefully reviewed and selected from 431 submissions. The 4 volumes are organized in topical sections on deep and reinforcement learning; big data analysis; neural data analysis; robotics and control; bio-inspired/energy efficient information processing; whole brain architecture; neurodynamics; bioinformatics; biomedical engineering; data mining and cybersecurity workshop; machine learning; neuromorphic hardware; sensory perception; pattern recognition; social networks; brain-machine interface; computer vision; time series analysis; data-driven approach for extracting latent features; topological and graph based clustering methods; computational intelligence; data mining; deep neural networks; computational and cognitive neurosciences; theory and algorithms.

Advanced Signal Processing On Brain Event Related Potentials

Author: Fengyu Cong
Publisher: World Scientific
ISBN: 9814623105
Size: 29.29 MB
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This book is devoted to the application of advanced signal processing on event-related potentials (ERPs) in the context of electroencephalography (EEG) for the cognitive neuroscience. ERPs are usually produced through averaging single-trials of preprocessed EEG, and then, the interpretation of underlying brain activities is based on the ordinarily averaged EEG. We find that randomly fluctuating activities and artifacts can still present in the averaged EEG data, and that constant brain activities over single trials can overlap with each other in time, frequency and spatial domains. Therefore, before interpretation, it will be beneficial to further separate the averaged EEG into individual brain activities. The book proposes systematic approaches pre-process wavelet transform (WT), independent component analysis (ICA), and nonnegative tensor factorization (NTF) to filter averaged EEG in time, frequency and space domains to sequentially and simultaneously obtain the pure ERP of interest. Software of the proposed approaches will be open-accessed. Contents:IntroductionWavelet Filter Design Based on Frequency Responses for Filtering ERP Data With Duration of One EpochIndividual-Level ICA to Extract the ERP Components from the Averaged EEG DataMulti-Domain Feature of the ERP Extracted by NTF: New Approach for Group-Level Analysis of ERPsAnalysis of Ongoing EEG by NTF During Real-World Music ExperiencesAppendix: Introduction to Basic Knowledge of Mismatch Negativity Readership: Undergraduate, graduate, researchers and professionals in the field of neurology/neuroscience, medical imaging, psychology, biomedical engineering and computer science. Key Features:Advanced signal processing approaches can be applied on averaged EEG to extract ERPs' componentsFiltering ERPs in time, frequency and space domains sequentially and simultaneouslyDemo of ERP data and MATLAB codes are open-access for the advanced signal processing approaches on ERPsKeywords:Event-Related Potentials (ERPs);Digital Filter;Wavelet Filter;Independent Component Analysis;Tensor Decomposition;Nonnegative Tensor Factorization;Time-Frequency Representation

Advanced Models Of Neural Networks

Author: Gerasimos Rigatos
Publisher: Springer
ISBN: 3662437643
Size: 25.84 MB
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This book provides a complete study on neural structures exhibiting nonlinear and stochastic dynamics, elaborating on neural dynamics by introducing advanced models of neural networks. It overviews the main findings in the modelling of neural dynamics in terms of electrical circuits and examines their stability properties with the use of dynamical systems theory. It is suitable for researchers and postgraduate students engaged with neural networks and dynamical systems theory.

Architecting The Cloud

Author: Michael J. Kavis
Publisher: John Wiley & Sons
ISBN: 1118826469
Size: 79.48 MB
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An expert guide to selecting the right cloud service model for your business Cloud computing is all the rage, allowing for the delivery of computing and storage capacity to a diverse community of end-recipients. However, before you can decide on a cloud model, you need to determine what the ideal cloud service model is for your business. Helping you cut through all the haze, Architecting the Cloud is vendor neutral and guides you in making one of the most critical technology decisions that you will face: selecting the right cloud service model(s) based on a combination of both business and technology requirements. Guides corporations through key cloud design considerations Discusses the pros and cons of each cloud service model Highlights major design considerations in areas such as security, data privacy, logging, data storage, SLA monitoring, and more Clearly defines the services cloud providers offer for each service model and the cloud services IT must provide Arming you with the information you need to choose the right cloud service provider, Architecting the Cloud is a comprehensive guide covering everything you need to be aware of in selecting the right cloud service model for you.

Life 3 0

Author: Max Tegmark
Publisher: Vintage
ISBN: 1101946601
Size: 20.52 MB
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New York Times Best Seller How will Artificial Intelligence affect crime, war, justice, jobs, society and our very sense of being human? The rise of AI has the potential to transform our future more than any other technology—and there’s nobody better qualified or situated to explore that future than Max Tegmark, an MIT professor who’s helped mainstream research on how to keep AI beneficial. How can we grow our prosperity through automation without leaving people lacking income or purpose? What career advice should we give today’s kids? How can we make future AI systems more robust, so that they do what we want without crashing, malfunctioning or getting hacked? Should we fear an arms race in lethal autonomous weapons? Will machines eventually outsmart us at all tasks, replacing humans on the job market and perhaps altogether? Will AI help life flourish like never before or give us more power than we can handle? What sort of future do you want? This book empowers you to join what may be the most important conversation of our time. It doesn’t shy away from the full range of viewpoints or from the most controversial issues—from superintelligence to meaning, consciousness and the ultimate physical limits on life in the cosmos.

Cyberpsychology And The Brain

Author: Thomas D. Parsons
Publisher: Cambridge University Press
ISBN: 1107094879
Size: 71.78 MB
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This book proposes a framework for integrating neuroscience and cyberpsychology for the study of social, cognitive, and affective processes.

Human And Machine Consciousness

Author: David Gamez
Publisher: Open Book Publishers
ISBN: 1783743018
Size: 57.34 MB
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Consciousness is widely perceived as one of the most fundamental, interesting and difficult problems of our time. However, we still know next to nothing about the relationship between consciousness and the brain and we can only speculate about the consciousness of animals and machines. Human and Machine Consciousness presents a new foundation for the scientific study of consciousness. It sets out a bold interpretation of consciousness that neutralizes the philosophical problems and explains how we can make scientific predictions about the consciousness of animals, brain-damaged patients and machines. Gamez interprets the scientific study of consciousness as a search for mathematical theories that map between measurements of consciousness and measurements of the physical world. We can use artificial intelligence to discover these theories and they could make accurate predictions about the consciousness of humans, animals and artificial systems. Human and Machine Consciousness also provides original insights into unusual conscious experiences, such as hallucinations, religious experiences and out-of-body states, and demonstrates how ‘designer’ states of consciousness could be created in the future. Gamez explains difficult concepts in a clear way that closely engages with scientific research. His punchy, concise prose is packed with vivid examples, making it suitable for the educated general reader as well as philosophers and scientists. Problems are brought to life in colourful illustrations and a helpful summary is given at the end of each chapter. The endnotes provide detailed discussions of individual points and full references to the scientific and philosophical literature.

Fundamentals Of Neurologic Disease

Author: Larry Ernest Davis
Publisher: Demos Medical Publishing
ISBN: 9781888799842
Size: 42.59 MB
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This textbook is intended for students in neurology and a variety of related disciplines who wish to learn the basic principles of neurology and to understand common neurologic diseases. It is designed to be read from cover to cover in a 3-4 week neurology rotation, or in a classroom situation, giving the reader a thorough understanding of the fundamentals of neurology. encountering a patient with a neurologic problem, the key elements of the neurologic exam, and an overview of common neurologic tests. They discuss how to use the history and neurologic exam to localize the patient's problem to specific neuroanatomic sites and to use the neuroanatomic information along with results of appropriate laboratory tests to establish a diagnosis. diseases presenting at different neuroanatomic sites along the neuroaxis, from muscle to the cerebral cortex, and chapters on diseases that have similarpathophysiologies. The authors selected 58 neurologic diseases based on their frequency, ability to represent that category of neurologic disease, value in teaching neuroscience concepts, and diagnostic importance. Each chapter begins with an overview to understand the common features of this group of diseases. Selected diseases are then discussed with an emphasis on the pathophysiology, major clinical features, major laboratory findings, and the principles of disease management. This book covers both adult and pediatric neurologic diseases as well as selected neurosurgical diseases. a neurology service or in the classroom. * The book focuses on the most important neurologic diseases, carefully selected based on frequency, ability to represent that category of neurologic disease, value in teaching neuroscience concepts, and diagnostic importance. Thus, students with a limited period of time can focus on the most important neurologic diseases that they need to understand. This is in contrast to existing texts that list virtually every disease within each category, with each disease given almost equal weight regardless of its importance, as a result of which the student can easily become confused as to which disease are important to understand. including the basic principles of the test, when the test is helpful, and some general principles toward interpretation of the results. This approach helps students understand in the later chapters why certain tests are recommended for specific diseases. * Each disease chapter begins with an extensive introduction that includes the features of illnesses that occur at that anatomic location or class of disease. This helps a reader understand how to localize neurologic illnesses that in turn leads to improved differential diagnosis and the better ordering of diagnostic tests. It also helps the reader understand how the nervous system is organized and how disease in each part can lead to specific types of signs and symptoms. books that just list signs and symptoms, diagnostic tests ordered, and drugs with doses that can be used. This book allows the student to better understand the etiology, the pathology and how the pathology causes neurologic signs and symptoms. * Two color printing of illustrations greatly improves readability. No other common student book has this.