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EEG/MEG Source Reconstruction, Kn?sche


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Автор: Kn?sche
Название:  EEG/MEG Source Reconstruction
ISBN: 9783030749163
Издательство: Springer
Классификация:



ISBN-10: 3030749169
Обложка/Формат: Hardback
Страницы: 415
Вес: 1.31 кг.
Дата издания: 16.10.2022
Язык: English
Издание: 1st ed. 2022
Иллюстрации: 165 tables, color; 174 illustrations, color; xix, 415 p. 174 illus. in color.
Размер: 279 x 210
Читательская аудитория: Professional & vocational
Основная тема: Biomedicine
Подзаголовок: Textbook for electro-and magnetoencephalography
Ссылка на Издательство: Link
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Поставляется из: Германии
Описание: This textbook provides a comprehensive and didactic introduction from the basics to the current state of the art in the field of EEG/MEG source reconstruction. Reconstructing the generators or sources of electroencephalographic and magnetoencephalographic (EEG/MEG) signals is an important problem in basic neuroscience as well as clinical research and practice. Over the past few decades, an entire theory, together with a whole collection of algorithms and techniques, has developed. In this textbook, the authors provide a unified perspective on a broad range of EEG/MEG source reconstruction methods, with particular emphasis on their respective assumptions about sources, data, head tissues, and sensor properties. An introductory chapter highlights the concept of brain imaging and the particular importance of the neuroelectromagnetic inverse problem. This is followed by an in-depth discussion of neural information processing and brain signal generation and an introduction to the practice of data acquisition. Next, the relevant mathematical models for the sources of EEG and MEG are discussed in detail, followed by the neuroelectromagnetic forward problem, that is, the prediction of EEG or MEG signals from those source models, using biophysical descriptions of the head tissues and the sensors. The main part of this textbook is dedicated to the source reconstruction methods. The authors present a theoretical framework of the neuroelectromagnetic inverse problem, centered on Bayes’ theorem, which then serves as the basis for a detailed description of a large variety of techniques, including dipole fit methods, distributed source reconstruction, spatial filters, and dynamic source reconstruction methods. The final two chapters address the important topic of assessment, including verification and validation of source reconstruction methods, and their actual application to real-world scientific and clinical questions. This book is intended as basic reading for anybody who is engaged with EEG/MEG source reconstruction, be it as a method developer or as a user, including advanced undergraduate students, PhD students, and postdocs in neuroscience, biomedical engineering, and related fields.
Дополнительное описание: Chapter 1: Introduction.- Chapter 2: Neural Tissue and its Signals.- Chapter 3: Measurements.- Chapter 4: Source Models.- Chapter 5: Forward Models.- Chapter 6: Inverse Methods.- Chapter 7: Assessment.- Chapter 8: Applications.



Brain Computer Interface

Автор: Panigrahi, Narayan (Center for Artificial Intellig
Название: Brain Computer Interface
ISBN: 1032148411 ISBN-13(EAN): 9781032148410
Издательство: Taylor&Francis
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Цена: 19906.00 р.
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Описание: This book discusses electroencephalogram (EEG) signal processing using effective methodology and algorithms. It provides a basic introduction on EEG, classification of different components and scope of processing EEG signal and its applications. Specific aspects such as Epilepsy detection, exploitation of P300 and so forth are also discussed.

Brain Signals: Physics and Mathematics of Meg and Eeg

Автор: Ilmoniemi Risto, Sarvas Jukka
Название: Brain Signals: Physics and Mathematics of Meg and Eeg
ISBN: 0262039826 ISBN-13(EAN): 9780262039826
Издательство: Random House (USA)
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Цена: 8966.00 р.
Наличие на складе: Нет в наличии.

Описание: A unified treatment of the generation and analysis of brain-generated electromagnetic fields.

Brain Source Localization Using Eeg

Автор: Jatoi
Название: Brain Source Localization Using Eeg
ISBN: 1498799345 ISBN-13(EAN): 9781498799348
Издательство: Taylor&Francis
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Цена: 27562.00 р.
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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.

Imaging Brain Function With EEG

Автор: Walter Freeman; Rodrigo Quian Quiroga
Название: Imaging Brain Function With EEG
ISBN: 1493900412 ISBN-13(EAN): 9781493900411
Издательство: Springer
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Цена: 24392.00 р.
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Описание: The scalp and cortex lie like pages of an open book on which the cortex enciphers vast quantities of information and knowledge. They are recorded and analyzed as temporal and spatial patterns in the electroencephalogram and electrocorticogram. This book describes basic tools and concepts needed to measure and decipher the patterns extracted from the EEG and ECoG. This book emphasizes the need for single trial analysis using new methods and paradigms, as well as large, high-density spatial arrays of electrodes for pattern sampling. The deciphered patterns reveal neural mechanisms by which brains process sensory information into precepts and concepts. It describes the brain as a thermodynamic system that uses chemical energy to construct knowledge. The results are intended for use in the search for the neural correlates of intention, attention, perception and learning; in the design of human brain-computer interfaces enabling mental control of machines; and in exploring and explaining the physicochemical foundation of biological intelligence.

Introduction to Non-Invasive EEG-Based Brain-Computer Interfaces for Assistive Technologies

Название: Introduction to Non-Invasive EEG-Based Brain-Computer Interfaces for Assistive Technologies
ISBN: 036750197X ISBN-13(EAN): 9780367501976
Издательство: Taylor&Francis
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Цена: 19140.00 р.
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Описание: This book provides an overview about different applications of brain-computer interfaces (BCIs) based on the authors more than 20 years of research in the field.

Electric Fields of the Brain

Автор: Nunez, Paul L.; Srinivasan, Ramesh
Название: Electric Fields of the Brain
ISBN: 019505038X ISBN-13(EAN): 9780195050387
Издательство: Oxford Academ
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Цена: 27859.00 р.
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Описание: Widely acclaimed when it first published in 1981, this book has been brought up-to-date with this second edition. Topics covered include synaptic sources, electrode placement, choice of reference, volume conduction, power and coherence, projection of scalp potentials to dura surface, dynamic signatures of conscious experience, and neural networks immersed in global fields of synaptic action.

Analysis and Classification of Eeg Signals for Brain-Computer Interfaces

Автор: Paszkiel Szczepan
Название: Analysis and Classification of Eeg Signals for Brain-Computer Interfaces
ISBN: 303030583X ISBN-13(EAN): 9783030305833
Издательство: Springer
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Цена: 12196.00 р.
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Описание: 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.

Standard EEG: A Research Roadmap for Neuropsychiatry

Автор: Nash N. Boutros
Название: Standard EEG: A Research Roadmap for Neuropsychiatry
ISBN: 3319355368 ISBN-13(EAN): 9783319355368
Издательство: Springer
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Цена: 17096.00 р.
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Описание: This book serves as a reference source containing both historical and recent references on existing gaps of knowledge regarding EEG deviations in psychiatric populations. Outlines clinical issues, reviews literature, findings and open research questions.

Analysis and Classification of EEG Signals for Brain–Computer Interfaces

Автор: Szczepan Paszkiel
Название: Analysis and Classification of EEG Signals for Brain–Computer Interfaces
ISBN: 3030305805 ISBN-13(EAN): 9783030305802
Издательство: Springer
Рейтинг:
Цена: 12196.00 р.
Наличие на складе: Есть у поставщика Поставка под заказ.

Описание: 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.

EEG-Based Brain-Computer Interfaces

Автор: Bansal, Dipali
Название: EEG-Based Brain-Computer Interfaces
ISBN: 0128146877 ISBN-13(EAN): 9780128146873
Издательство: Elsevier Science
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Цена: 19875.00 р.
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Описание:

EEG-Based Brain-Computer Interface: Cognitive Analysis and Control Applications provides a technical approach to using brain signals for control applications, along with the EEG-related advances in BCI. The research and techniques in this book discuss time and frequency domain analysis on deliberate eye-blinking data as the basis for EEG-triggering control applications. In addition, the book provides experimental scenarios and features algorithms for acquiring real-time EEG signals using commercially available units that interface with MATLAB software for acquisition and control.

  • Details techniques for multiple types of analysis (including ERP, scalp map, sub-band power and independent component) to acquire data from deliberate eye-blinking
  • Demonstrates how to use EEGs to develop more intuitive BCIs in real-time scenarios
  • Includes algorithms and scenarios that interface with MATLAB software for interactive use
Eeg Signal Processing and Feature Extraction

Автор: Hu Li, Zhang Zhiguo
Название: Eeg Signal Processing and Feature Extraction
ISBN: 9811391157 ISBN-13(EAN): 9789811391156
Издательство: Springer
Цена: 20733.00 р.
Наличие на складе: Есть у поставщика Поставка под заказ.

Описание: This book presents the conceptual and mathematical basis and the implementation of both electroencephalogram (EEG) and EEG signal processing in a comprehensive, simple, and easy-to-understand manner.

Computational Eeg Analysis: Methods and Applications

Автор: Im Chang-Hwan
Название: Computational Eeg Analysis: Methods and Applications
ISBN: 9811345295 ISBN-13(EAN): 9789811345296
Издательство: Springer
Рейтинг:
Цена: 10976.00 р.
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Описание:

Part I. Introduction

Chapter 1. Basics of EEG: Generation, Acquisition and Applications of EEG - Chang-Hwan Im

1.1. Generation of EEG

1.2. Acquisition of EEG

1.3. Computational EEG Analysis

1.4. Applications of EEG

Part II. Methods

Chapter 2. Preprocessing of EEG - Sung-Phil Kim

2.1. Introduction

2.2. Early-Stage Preprocessing

2.3. Artifact Removal

2.4. Discussion

Chapter 3. EEG Spectral Analysis - Do-Won Kim and Chang-Hwan Im

3.1. Introduction

3.2. Methodological Background

3.3. Practical Remarks on EEG Spectral Analysis

Chapter 4. The Analysis of Event-Related Potentials - Marco Congedo

4.1. Introduction

4.2. General Considerations in ERP Analysis

4.3. Time Domain Analysis;

4.4. Time-Frequency Domain Analysis

4.5. Spatial Domain Analysis

4.6. Inferential Statistics

4.7. Single-Sweep Classification

Chapter 5. EEG Source Imaging and Multimodal Neuroimaging - Yingchun Zhang

5.1. From the Brain to the Scalp - the Forward Problem

5.2. From the Scalp to the Brain - the Inverse Problem

5.3. Multimodal Integration

5.4. Conclusion

Chapter 6. Methods for Functional Connectivity Analysis - Jeong-Woo Choi and Kyung-Hwan Kim

6.1. Introduction

6.2. Procedure for the FCA

6.3. FC Metrics

6.4. Volume Conduction Problem

6.5. EEG FC Analysis on Source Space

6.6. Determination of Significance

6.7. Conclusions

Part III. Applications

Chapter 7. Computational EEG Analysis for the Diagnosis of Psychiatric Illnesses - Seung-Hwan Lee and Yeonsoo Park

7.1. Introduction

7.2. Promising EEG Biomarker Candidates

7.3. Psychiatric Disorders and EEG Biomarkers

7.4. Diagnosis for Cognitive impairment: Dementia and Minimal Cognitive Impairment

7.5. Conclusion

Chapter 8. Analysis of EEG in Medically Intractable Epilepsy - Ki-Young Jung

8.1. Overview of Epilepsy and Epilepsy Surgery

8.2. EEG Source Imaging

8.3. High Frequency Oscillation (HFOs)

Chapter 9. Computational EEG Analysis for Brain-Computer Interfaces - Garett D. Johnson and Dean J. Krusienski

9.1 Brain-Computer Interfaces

9.2. Active Paradigms

9.3. Reactive Paradigms

9.4. Other Considerations

Chapter 10. EEG Analysis for Hyperscanning and Social Neuroscience - Dan Zhang

10.1. Introduction

10.2. Hyperlink for social perception

10.3. Hyperlink for social interaction

10.4. Future perspectives


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