EEG-Based Brain-Computer Interfaces, Bansal, Dipali

Автор: Theodore W. Berger; John K. Chapin; Greg A. Gerhar
Название: Brain-Computer Interfaces
ISBN: 9048179602 ISBN-13(EAN): 9789048179602
Издательство: Springer
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Цена: 104480.00 T
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Описание: This study gathered information on global status and trends in brain-computer interface (BCI) research to disseminate to government decision makers and the research community. It provides a worldwide snapshot of current research and development trends in BCI.

Автор: Diez, Pablo
Название: Smart Wheelchairs and Brain-computer Interfaces
ISBN: 0128128925 ISBN-13(EAN): 9780128128923
Издательство: Elsevier Science
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Цена: 129130.00 T
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Описание: Besides the DevOps Professional Courseware (ISBN: 978 94 018 313 7) publication you are advised to obtain the publication The DevOps Handbook: How to Create World-Class Agility, Reliability, and Security in Technology Organizations (ISBN: 978 19 427 8800 3).The word DevOps is a contraction of `Development` and `Operations`. DevOps is a set of best practices that emphasize the collaboration and communication of IT-professionals (developers, operators, and support staff) in the lifecycle of applications and services, leading to:¢ Continuous Integration: merging all developed working copies to a shared mainline several times a day¢ Continuous Deployment: release continuously or as often as possible¢ Continuous Feedback: seek feedback from stakeholders during all lifecycle stagesThe DevOps practices covered in this certification are derived from the Three Ways:- The First Way is to enable the work to move fast from left to right, from Development to Operations to the customer.- The Second Way is to enable feedback to go fast from right to left, from all stakeholders back into the value stream.- The Third Way is to enable learning by creating a high-trust culture of experimentation and risk-taking.Moreover, the crucial subjects of security in all stages, and maintaining compliance during change are covered.The certification has been developed in cooperation with experts in the DevOps work field.Recommended per knowledge: Pre-knowledge of Agile, Lean and/or IT Service Management, for instance through the EXIN Agile Scrum Foundation exam, LITA Lean IT Foundation exam or EXIN IT Service Management Foundation based on ISO/IEC 20000 exam, is recommended.

Автор: Kumar, Nilesh
Название: EEG-Based Diagnosis of Alzheimer Disease
ISBN: 012815392X ISBN-13(EAN): 9780128153925
Издательство: Elsevier Science
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Цена: 103250.00 T
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Описание: EEG-Based Diagnosis of Alzheimer Disease: A Review and Novel Approaches for Feature Extraction and Classification Techniques provides a practical and easy-to-use guide for researchers in EEG signal processing techniques, Alzheimer’s disease, and dementia diagnostics. The book examines different features of EEG signals used to properly diagnose Alzheimer’s Disease early, presenting new and innovative results in the extraction and classification of Alzheimer’s Disease using EEG signals. This book brings together the use of different EEG features, such as linear and nonlinear features, which play a significant role in diagnosing Alzheimer’s Disease.

Автор: Lytton William W.
Название: From Computer to Brain / Foundations of Computational Neuroscience
ISBN: 0387955267 ISBN-13(EAN): 9780387955261
Издательство: Springer
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Цена: 41880.00 T
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Описание: Biology undergraduates, medical students and life-science graduate students often have limited mathematical skills. Similarly, physics, math and engineering students have little patience for the detailed facts that make up much of biological knowledge. Teaching computational neuroscience as an integrated discipline requires that both groups be brought forward onto common ground. This book does this by making ancillary material available in an appendix and providing basic explanations without becoming bogged down in unnecessary details. The book will be suitable for undergraduates and beginning graduate students taking a computational neuroscience course and also to anyone with an interest in the uses of the computer in modeling the nervous system.

Автор: Xu
Название: Low Power Active Electrode ICs for Wearable EEG Acquisition
ISBN: 3319748629 ISBN-13(EAN): 9783319748627
Издательство: Springer
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Цена: 81050.00 T
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Описание: This book presents fundamental requirements, electrical specification, and parameter tradeoffs of wearable EEG acquisition circuits, especially those compatible with dry electrodes for user-friendly recordings.

Автор: Siuly Siuly; Yan Li; Yanchun Zhang
Название: EEG Signal Analysis and Classification
ISBN: 3319476521 ISBN-13(EAN): 9783319476520
Издательство: Springer
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Цена: 130430.00 T
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Описание: This book presents advanced methodologies in two areas related to electroencephalogram (EEG) signals: detection of epileptic seizures and identification of mental states in brain computer interface (BCI) systems.

Автор: Jatoi
Название: Brain Source Localization Using Eeg
ISBN: 1498799345 ISBN-13(EAN): 9781498799348
Издательство: Taylor&Francis
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Цена: 173530.00 T
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Описание: The proposed book studies various aspects and applications of EEG (Electroencephalography) source localization techniques related to engineering and clinical applicatons for various brain disorder studies.

Автор: Brendan Z. Allison; Stephen Dunne; Robert Leeb; Jo
Название: Towards Practical Brain-Computer Interfaces
ISBN: 364243214X ISBN-13(EAN): 9783642432149
Издательство: Springer
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Цена: 130590.00 T
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Описание: Featuring contributions by many of the top brain-computer interface researchers and developers, this book reviews the latest progress in the various components of BCIs. Discussion includes a range of practical issues in an emerging BCI enabled community.

Автор: Im
Название: Computational EEG Analysis
ISBN: 9811309078 ISBN-13(EAN): 9789811309076
Издательство: Springer
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Цена: 167700.00 T
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Описание: This book introduces and reviews all of the currently available methods being used for computational electroencephalogram (EEG) analysis, from the fundamentals through to the state-of-the-art. The aim of the book is to help biomedical engineers and medical doctors who use EEG to better understand the methods and applications of computational EEG analysis from a single, well-organized resource. Following a brief introduction to the principles of EEG and acquisition techniques, the book is divided into two main sections. The first of these covers analysis methods, beginning with preprocessing, and then describing EEG spectral analysis, event-related potential analysis, source imaging and multimodal neuroimaging, and functional connectivity analysis. The following section covers application of EEG analysis to specific fields, including the diagnosis of psychiatric diseases and neurological disorders, brain-computer interfacing, and social neuroscience. Aimed at practicing medical specialists, engineers, researchers and advanced students, the book features contributions from world-renowned biomedical engineers working across a broad spectrum of computational EEG analysis techniques and EEG applications.

Название: EEG/ERP Analysis
ISBN: 1138077089 ISBN-13(EAN): 9781138077089
Издательство: Taylor&Francis
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Цена: 59190.00 T
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Описание: Changes in the neurological functions of the human brain are often a precursor to numerous degenerative diseases. Advanced EEG systems and other monitoring systems used in preventive diagnostic procedures incorporate innovative features for brain monitoring functions such as real-time automated signal processing techniques and sophisticated amplifiers. Highlighting the US, Europe, Australia, New Zealand, Japan, Korea, China, and many other areas, EEG/ERP Analysis: Methods and Applications examines how researchers from various disciplines have started to work in the field of brain science, and explains the different techniques used for processing EEG/ERP data. Engineers can learn more about the clinical applications, while clinicians and biomedical scientists can familiarize themselves with the technical aspects and theoretical approaches. This book explores the recent advances involved in EEG/ERP analysis for brain monitoring, details successful EEG and ERP applications, and presents the neurological aspects in a simplified way so that those with an engineering background can better design clinical instruments. It consists of 13 chapters and includes the advanced techniques used for signal enhancement, source localization, data fusion, classification, and quantitative EEG. In addition, some of the chapters are contributed by neurologists and neurosurgeons providing the clinical aspects of EEG/ERP analysis. Covers a wide range of EEG/ERP applications with state-of-the-art techniques for denoising, analysis, and classification Examines new applications related to 3D display devices Includes MATLAB® codes EEG/ERP Analysis: Methods and Applications is a resource for biomedical and neuroscience scientists who are working on neural signal processing and interpretation, and biomedical engineers who are working on EEG/ERP signal analysis methods and developing clinical instrumentation. It can also assist neurosurgeons, psychiatrists, and postgraduate students doing research in neural engineering, as well as electronic engineers in neural signal processing and instrumentation.

Автор: Hortal
Название: Brain-Machine Interfaces for Assistance and Rehabilitation of People with Reduced Mobility
ISBN: 331995704X ISBN-13(EAN): 9783319957043
Издательство: Springer
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Цена: 93160.00 T
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Описание: This thesis, examined at the Miguel Hernandez University of Elche, Spain, in 2016, received the award for best thesis in bioengineering from the Bioengineering group of the Spanish Committee of Automatic Control (CEA) in 2017.

Автор: Eduardo Reck Miranda; Julien Castet
Название: Guide to Brain-Computer Music Interfacing
ISBN: 1447165837 ISBN-13(EAN): 9781447165835
Издательство: Springer
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Цена: 79190.00 T
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Описание: This book presents a world-class collection of Brain-Computer Music Interfacing (BCMI) tools. The text focuses on how these tools enable the extraction of meaningful control information from brain signals, and discusses how to design effective generative music techniques that respond to this information.