Analysis of the electrical activity of the brain
Author(s)
Bibliographic Information
Analysis of the electrical activity of the brain
J. Wiley and Sons, c1997
Available at 23 libraries
  Aomori
  Iwate
  Miyagi
  Akita
  Yamagata
  Fukushima
  Ibaraki
  Tochigi
  Gunma
  Saitama
  Chiba
  Tokyo
  Kanagawa
  Niigata
  Toyama
  Ishikawa
  Fukui
  Yamanashi
  Nagano
  Gifu
  Shizuoka
  Aichi
  Mie
  Shiga
  Kyoto
  Osaka
  Hyogo
  Nara
  Wakayama
  Tottori
  Shimane
  Okayama
  Hiroshima
  Yamaguchi
  Tokushima
  Kagawa
  Ehime
  Kochi
  Fukuoka
  Saga
  Nagasaki
  Kumamoto
  Oita
  Miyazaki
  Kagoshima
  Okinawa
  Korea
  China
  Thailand
  United Kingdom
  Germany
  Switzerland
  France
  Belgium
  Netherlands
  Sweden
  Norway
  United States of America
Note
Includes bibliographical references and index
Description and Table of Contents
Description
This work is an introduction to the methods used in measuring electrical charges in the brain. It should help clinicians to increase their understanding of methods and improve their day-to-day techniques. The book also demonstrates any assumptions in the methodologies and gives guidelines on interpreting results. It features details on recent techniques; clear and understandable accounts of established methods; and worked examples and case studies.
Table of Contents
- Part 1 Non-linear dynamical analysis: A tutorial review of the use and benefits of non-linear dynamical analysis of the EEG
- Clinical applications of EEG analyses by means of tools derived from non-linear system theory
- Fractal analysis of the EEG in epilepsy
- Non-linear time series tests for future EEG applications
- Is dimensionality useful in the study of ERPs?
- A tutorial on classical computer analysis of EEGs: Spectra and coherences
- Time series studies
- The value of the electroencephalogram in ageing, dementia and stroke
- EEG coherence and mental activity. Part 2 Signal detection: Maximum length sequences versus other methods for the detection of evoked potentials
- Classification of single EEG trials using machine learning methods and neural networks
- Autoregressive techniques for the detection of movement related brain macropotentials
- Waveform analysis and adaptive classification in a system for automatic sleep staging. Part 3 Topography and source localization: Clinical application of voltage topography and source localization in partial epilepsy
- Clinical application of voltage topography and source localization in partial epilepsy
- Clinical applications of source localization techniques - the human somatosensory cortex
- Dipole source estimation of focal epileptic spikes: correlation with stereo-electroencephalographic findings
- EEG mapping and new methods for mentation and functional activation studies
- High resolution EEG: new spatial deblurring techniques using realistic surfaces of the subject's head constructed from magnetic resonance images.
by "Nielsen BookData"