Computational EEG Analysis Methods and Applications /
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 th...
Συγγραφή απο Οργανισμό/Αρχή: | |
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Άλλοι συγγραφείς: | |
Μορφή: | Ηλεκτρονική πηγή Ηλ. βιβλίο |
Γλώσσα: | English |
Έκδοση: |
Singapore :
Springer Singapore : Imprint: Springer,
2018.
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Έκδοση: | 1st ed. 2018. |
Σειρά: | Biological and Medical Physics, Biomedical Engineering,
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Θέματα: | |
Διαθέσιμο Online: | Full Text via HEAL-Link |
Πίνακας περιεχομένων:
- Part I. Introduction
- Chapter 1. Basics of EEG: Generation, Acquisition and Applications of EEG - Chang-Hwan Im
- Part II. Methods
- Chapter 2. Preprocessing of EEG - Sung-Phil Kim
- Chapter 3. EEG Spectral Analysis - Do-Won Kim and Chang-Hwan Im
- Chapter 4. The Analysis of Event-Related Potentials - Marco Congedo
- Chapter 5. EEG Source Imaging and Multimodal Neuroimaging - Yingchun Zhang
- Chapter 6. Methods for Functional Connectivity Analysis - Jeong-Woo Choi and Kyung-Hwan Kim
- Part III. Applications
- Chapter 7. Computational EEG Analysis for the Diagnosis of Psychiatric Illnesses - Seung-Hwan Lee and Yeonsoo Park
- Chapter 8. Analysis of EEG in Medically Intractable Epilepsy - Ki-Young Jung
- Chapter 9. Computational EEG Analysis for Brain-Computer Interfaces - Garett D. Johnson and Dean J. Krusienski
- Chapter 10. EEG Analysis for Hyperscanning and Social Neuroscience - Dan Zhang.