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...

Πλήρης περιγραφή

Λεπτομέρειες βιβλιογραφικής εγγραφής
Συγγραφή απο Οργανισμό/Αρχή: SpringerLink (Online service)
Άλλοι συγγραφείς: Im, Chang-Hwan (Επιμελητής έκδοσης, http://id.loc.gov/vocabulary/relators/edt)
Μορφή: Ηλεκτρονική πηγή Ηλ. βιβλίο
Γλώσσα:English
Έκδοση: Singapore : Springer Singapore : Imprint: Springer, 2018.
Έκδοση:1st ed. 2018.
Σειρά:Biological and Medical Physics, Biomedical Engineering,
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.