Fundamentals of EEG Technology: Clinical correlates PDF Download

Author: Fay S. Tyner
Publisher: Lippincott Williams & Wilkins
ISBN: 9780890049099
Category : Medical
Languages : en
Pages : 308

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Author: Fay S. Tyner
Publisher: Lippincott Williams & Wilkins
ISBN: 9780890043851
Category : Medical
Languages : en
Pages : 344

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Author: Cornelius Borck
Publisher: Routledge
ISBN: 1317172809
Category : History
Languages : en
Pages : 560

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Book Description
In the history of brain research, the prospect of visualizing brain processes has continually awakened great expectations. In this study, Cornelius Borck focuses on a recording technique developed by the German physiologist Hans Berger to register electric brain currents; a technique that was expected to allow the brain to write in its own language, and which would reveal the way the brain worked. Borck traces the numerous contradictory interpretations of electroencephalography, from Berger’s experiments and his publication of the first human EEG in 1929, to its international proliferation and consolidation as a clinical diagnostic method in the mid-twentieth century. Borck's thesis is that the language of the brain takes on specific contours depending on the local investigative cultures, from whose conflicting views emerged a new scientific object: the electric brain.

Author: Donald L. Schomer
Publisher: Lippincott Williams & Wilkins
ISBN: 1451153155
Category : Medical
Languages : en
Pages : 1308

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Book Description
The leading reference on electroencephalography since 1982, Niedermeyer's Electroencephalography is now in its thoroughly updated Sixth Edition. An international group of experts provides comprehensive coverage of the neurophysiologic and technical aspects of EEG, evoked potentials, and magnetoencephalography, as well as the clinical applications of these studies in neonates, infants, children, adults, and older adults. This edition's new lead editor, Donald Schomer, MD, has updated the technical information and added a major new chapter on artifacts. Other highlights include complete coverage of EEG in the intensive care unit and new chapters on integrating other recording devices with EEG; transcranial electrical and magnetic stimulation; EEG/TMS in evaluation of cognitive and mood disorders; and sleep in premature infants, children and adolescents, and the elderly. A companion website includes fully searchable text and image bank.

Author: Priyanka A. Abhang
Publisher: Academic Press
ISBN: 0128045310
Category : Medical
Languages : en
Pages : 200

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Book Description
Introduction to EEG- and Speech-Based Emotion Recognition Methods examines the background, methods, and utility of using electroencephalograms (EEGs) to detect and recognize different emotions. By incorporating these methods in brain-computer interface (BCI), we can achieve more natural, efficient communication between humans and computers. This book discusses how emotional states can be recognized in EEG images, and how this is useful for BCI applications. EEG and speech processing methods are explored, as are the technological basics of how to operate and record EEGs. Finally, the authors include information on EEG-based emotion recognition, classification, and a proposed EEG/speech fusion method for how to most accurately detect emotional states in EEG recordings. - Provides detailed insight on the science of emotion and the brain signals underlying this phenomenon - Examines emotions as a multimodal entity, utilizing a bimodal emotion recognition system of EEG and speech data - Details the implementation of techniques used for acquiring as well as analyzing EEG and speech signals for emotion recognition

Author: Frank H. Duffy
Publisher: Springer Science & Business Media
ISBN: 1461388260
Category : Medical
Languages : en
Pages : 314

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Book Description
Electroencephalography is truly an interdisciplinary endeavor, involving concepts and techniques from a variety of different disciplines. Included are basic physics, neuro physiology, electrophysiology, electrochemistry, electronics, and electrical engineer ing, as well as neurology. Given this interesting and diverse mixture of areas, the train ing of an EEG technician, a neurology resident, or an EEG researcher in the basics of clinical electroencephalography presents an uncommon challenge. In the realm of technology, it is relatively easy to obtain a technically adequate EEG simply by learning to follow a protocol and by correctly setting the various switches on the EEG machine at the right time. But experience has shown that the ability to obtain high-quality EEGs on a routine, day-to-day basis from a wide variety of patients requires understanding and knowledge beyond what is learned by rote. Likewise, knowledge above and beyond what is gained by simple participation in an EEG reading is necessary to correctly and comprehensively interpret the record. Such knowledge comes from an understanding of the basic principles upon which the practice of clinical EEG is founded - principles that derive from the various disciplines cited.

Author: Saeid Sanei
Publisher: John Wiley & Sons
ISBN: 1118691237
Category : Science
Languages : en
Pages : 312

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Book Description
Electroencephalograms (EEGs) are becoming increasingly important measurements of brain activity and they have great potential for the diagnosis and treatment of mental and brain diseases and abnormalities. With appropriate interpretation methods they are emerging as a key methodology to satisfy the increasing global demand for more affordable and effective clinical and healthcare services. Developing and understanding advanced signal processing techniques for the analysis of EEG signals is crucial in the area of biomedical research. This book focuses on these techniques, providing expansive coverage of algorithms and tools from the field of digital signal processing. It discusses their applications to medical data, using graphs and topographic images to show simulation results that assess the efficacy of the methods. Additionally, expect to find: explanations of the significance of EEG signal analysis and processing (with examples) and a useful theoretical and mathematical background for the analysis and processing of EEG signals; an exploration of normal and abnormal EEGs, neurological symptoms and diagnostic information, and representations of the EEGs; reviews of theoretical approaches in EEG modelling, such as restoration, enhancement, segmentation, and the removal of different internal and external artefacts from the EEG and ERP (event-related potential) signals; coverage of major abnormalities such as seizure, and mental illnesses such as dementia, schizophrenia, and Alzheimer’s disease, together with their mathematical interpretations from the EEG and ERP signals and sleep phenomenon; descriptions of nonlinear and adaptive digital signal processing techniques for abnormality detection, source localization and brain-computer interfacing using multi-channel EEG data with emphasis on non-invasive techniques, together with future topics for research in the area of EEG signal processing. The information within EEG Signal Processing has the potential to enhance the clinically-related information within EEG signals, thereby aiding physicians and ultimately providing more cost effective, efficient diagnostic tools. It will be beneficial to psychiatrists, neurophysiologists, engineers, and students or researchers in neurosciences. Undergraduate and postgraduate biomedical engineering students and postgraduate epileptology students will also find it a helpful reference.

Author: Szczepan Paszkiel
Publisher: Springer Nature
ISBN: 3030305813
Category : Technology & Engineering
Languages : en
Pages : 131

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Book Description
This book addresses the problem of EEG signal analysis and the need to classify it for practical use in many sample implementations of brain–computer interfaces. In addition, it offers a wealth of information, ranging from the description of data acquisition methods in the field of human brain work, to the use of Moore–Penrose pseudo inversion to reconstruct the EEG signal and the LORETA method to locate sources of EEG signal generation for the needs of BCI technology. In turn, the book explores the use of neural networks for the classification of changes in the EEG signal based on facial expressions. Further topics touch on machine learning, deep learning, and neural networks. The book also includes dedicated implementation chapters on the use of brain–computer technology in the field of mobile robot control based on Python and the LabVIEW environment. In closing, it discusses the problem of the correlation between brain–computer technology and virtual reality technology.

Author: Steven J. Luck
Publisher: MIT Press
ISBN: 0262525852
Category : Science
Languages : en
Pages : 417

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Book Description
An essential guide to designing, conducting, and analyzing event-related potential (ERP) experiments, completely updated for this edition. The event-related potential (ERP) technique, in which neural responses to specific events are extracted from the EEG, provides a powerful noninvasive tool for exploring the human brain. This volume describes practical methods for ERP research along with the underlying theoretical rationale. It offers researchers and students an essential guide to designing, conducting, and analyzing ERP experiments. This second edition has been completely updated, with additional material, new chapters, and more accessible explanations. Freely available supplementary material, including several online-only chapters, offer expanded or advanced treatment of selected topics. The first half of the book presents essential background information, describing the origins of ERPs, the nature of ERP components, and the design of ERP experiments. The second half of the book offers a detailed treatment of the main steps involved in conducting ERP experiments, covering such topics as recording the EEG, filtering the EEG and ERP waveforms, and quantifying amplitudes and latencies. Throughout, the emphasis is on rigorous experimental design and relatively simple analyses. New material in the second edition includes entire chapters devoted to components, artifacts, measuring amplitudes and latencies, and statistical analysis; updated coverage of recording technologies; concrete examples of experimental design; and many more figures. Online chapters cover such topics as overlap, localization, writing and reviewing ERP papers, and setting up and running an ERP lab.

Author: Philip Tsang
Publisher: World Scientific
ISBN: 9812772723
Category : Education
Languages : en
Pages : 292

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Book Description
This volume provides an up-to-date study of theory and practice on the importance of technology in teaching and learning. The contributions are carefully peer-reviewed from over 100 submissions to the International Conference on Teaching and Learning 2006, held in Hong Kong. Sample Chapter(s). Chapter 1: Faculty Perceptions of ICT Benefits (391 KB). Contents: Faculty Perceptions of ICT Benefits (R Fox et al.); Thinking about Thinking Online (K Downing et al.); Teacher''s Sharing Pedagogical Experiences in a Learning Environment that Supports Self-Regulated Learning (G Dettori et al.); Online Interaction: Trying to Get It Right (L Chow and R Sharman); Crossing Borders: How Cross-Cultural Videoconferencing can Satisfy Course Goals in Dissimilar Subjects (J S Wilkinson & A-L Wang); The Evaluation of Information and Communication Technology Use in Professional Schools (P Gabor & C Ing); Using Technology in Education: The Application of Data Mining (K H Chye et al.); A Comparison of WebCT, Blackboard and Moddle for the Teaching and Learning of Continuing Education Courses (K S Cheung); The Object-Oriented Database Application and the System Architecture of a National Learning Objects Repository for Cyprus (P Pouyioutas et al.); and other papers. Readership: Graduate students, researchers and practitioners involved in the development and education of e-learning.