Analysis of the electrical activity of the brain

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.