Computational EEG Analysis -

Computational EEG Analysis (eBook)

Methods and Applications

Chang-Hwan Im (Herausgeber)

eBook Download: PDF
2018 | 1st ed. 2018
XII, 228 Seiten
Springer Singapore (Verlag)
978-981-13-0908-3 (ISBN)
Systemvoraussetzungen
181,89 inkl. MwSt
  • Download sofort lieferbar
  • Zahlungsarten anzeigen

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.



Prof. Chang-Hwan Im graduated from the School of Electrical Engineering of Seoul National University, Korea, in 1999. He received his MS and PhD from the same university in 2001 and 2005, respectively. He worked as a Post-doctor in the Department of Biomedical Engineering at the University of Minnesota, MN, USA, from 2005 to 2006. From 2006 to 2011, he worked for the Department of Biomedical Engineering at Yonsei University, Korea, as an Assistant/Associate Professor. Since 2011, he has been working for the Department of Biomedical Engineering at Hanyang University, Korea, as a Professor. His research interests cover various fields of computational neuroengineering, especially brain-computer interfaces, the diagnosis of neuropsychiatric diseases, noninvasive brain stimulation, bioelectromagnetic source imaging, neuromarketing, and dynamic neuroimaging. He has authored more than 150 articles in peer-reviewed international journals. He is currently a Director of the Computational Neuroengineering Laboratory of Hanyang University, and he is Associate Editors of Biomedical Engineering Letters, Experimental Neurobiology, and Brain-Computer Interfaces.



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.

Prof. Chang-Hwan Im graduated from the School of Electrical Engineering of Seoul National University, Korea, in 1999. He received his MS and PhD from the same university in 2001 and 2005, respectively. He worked as a Post-doctor in the Department of Biomedical Engineering at the University of Minnesota, MN, USA, from 2005 to 2006. From 2006 to 2011, he worked for the Department of Biomedical Engineering at Yonsei University, Korea, as an Assistant/Associate Professor. Since 2011, he has been working for the Department of Biomedical Engineering at Hanyang University, Korea, as a Professor. His research interests cover various fields of computational neuroengineering, especially brain-computer interfaces, the diagnosis of neuropsychiatric diseases, noninvasive brain stimulation, bioelectromagnetic source imaging, neuromarketing, and dynamic neuroimaging. He has authored more than 150 articles in peer-reviewed international journals. He is currently a Director of the Computational Neuroengineering Laboratory of Hanyang University, and he is Associate Editors of Biomedical Engineering Letters, Experimental Neurobiology, and Brain-Computer Interfaces.

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

Erscheint lt. Verlag 16.8.2018
Reihe/Serie Biological and Medical Physics, Biomedical Engineering
Biological and Medical Physics, Biomedical Engineering
Zusatzinfo XII, 228 p. 59 illus., 36 illus. in color.
Verlagsort Singapore
Sprache englisch
Themenwelt Mathematik / Informatik Informatik
Mathematik / Informatik Mathematik Analysis
Mathematik / Informatik Mathematik Angewandte Mathematik
Medizin / Pharmazie Medizinische Fachgebiete Neurologie
Medizinische Fachgebiete Radiologie / Bildgebende Verfahren Radiologie
Medizin / Pharmazie Physiotherapie / Ergotherapie Orthopädie
Studium 1. Studienabschnitt (Vorklinik) Biochemie / Molekularbiologie
Naturwissenschaften Physik / Astronomie Angewandte Physik
Technik Bauwesen
Technik Medizintechnik
Schlagworte brain-computer interface • EEG neurofeedback • EEG source imaging • electroencephlaography • magnetoencephalography • Multimodal Neuroimaging • quantitative EEG (qEEG) • Scalp and intracranial EEGs
ISBN-10 981-13-0908-6 / 9811309086
ISBN-13 978-981-13-0908-3 / 9789811309083
Haben Sie eine Frage zum Produkt?
PDFPDF (Wasserzeichen)
Größe: 7,2 MB

DRM: Digitales Wasserzeichen
Dieses eBook enthält ein digitales Wasser­zeichen und ist damit für Sie persona­lisiert. Bei einer missbräuch­lichen Weiter­gabe des eBooks an Dritte ist eine Rück­ver­folgung an die Quelle möglich.

Dateiformat: PDF (Portable Document Format)
Mit einem festen Seiten­layout eignet sich die PDF besonders für Fach­bücher mit Spalten, Tabellen und Abbild­ungen. Eine PDF kann auf fast allen Geräten ange­zeigt werden, ist aber für kleine Displays (Smart­phone, eReader) nur einge­schränkt geeignet.

Systemvoraussetzungen:
PC/Mac: Mit einem PC oder Mac können Sie dieses eBook lesen. Sie benötigen dafür einen PDF-Viewer - z.B. den Adobe Reader oder Adobe Digital Editions.
eReader: Dieses eBook kann mit (fast) allen eBook-Readern gelesen werden. Mit dem amazon-Kindle ist es aber nicht kompatibel.
Smartphone/Tablet: Egal ob Apple oder Android, dieses eBook können Sie lesen. Sie benötigen dafür einen PDF-Viewer - z.B. die kostenlose Adobe Digital Editions-App.

Buying eBooks from abroad
For tax law reasons we can sell eBooks just within Germany and Switzerland. Regrettably we cannot fulfill eBook-orders from other countries.

Mehr entdecken
aus dem Bereich

von Marija Pinto

eBook Download (2023)
Urban & Fischer Verlag - Lehrbücher
26,99