I	NON-LINEAR DYNAMICAL ANALYSIS
1	A Tutorial Review of the Use and Benefits of Non-Linear Dynamical Analysis of the ECG 3
2	Clinical Applications of EEG Analyses by Means of Tools Derived from Non-linear System Theory 45
3	Fractal Analysis of the EEG in Epilepsy 69
4	Non-linear Time Series Tests for Future EEG Applications 83
5	Is Dimensionality Useful in the Study of ERPs? 93

II	SPECTRAL ANALYSIS
6	A Tutorial on Classical Computer Analysis of EEGs Spectra and Coherences 105
7	Time Series Studies: the Value of the Electroencephalogram in Aging, Dementia and Stroke 125
8	EEG Coherence and Mental Activity 141

III	SIGNAL DETECTION
9	Maximum Length Sequences versus Other Methods for the Detection of Evoked Potentials 171
10	Classification of Single EEG Trials Using Machine Learning Methods and Neural Networks 221
11	Autoregressive Techniques for the Detection of Movement-related Brain Macropotentials 237
12	Waveform Analysis and Adaptive Classification in a System for Automatic Sleep Staging 253

IV	TOPOGRAPHY AND SOURCE LOCALIZATION
13	Clinical Application of Voltage Topography and Source Localization in Partial Epilepsy 263
14	Clinical Applications of Source Localisation Techniques - the Human Somatosensory Cortex 271
15	Dipole Source Estimation of Focal Epileptic Spikes: Correlation with Stereo-electroencephalographic Findings 309
16	EEG Mapping and New Methods for Mentation and Functional Activation Studies 327
17	High-resolution EEG: New Spatial Deblurring Techniques Using Realistic Surfaces of the Subject's Head 
	   Constructed from Magnetic Resonance Images 345