Saeid Sanei - EEG Signal Processing and Machine Learning

18 Chapter 18Figure 18.1 Block diagram of an MRI scanner illustrating the components invo...Figure 18.2 Gamma functions with varying parameters: (a) c changes from 0.2 ...Figure 18.3 The absorption coefficient curves for oxyhaemoglobin and deoxyha...Figure 18.4 The concept of cortex fNIRS imaging.Figure 18.5 The mechanism of inherent link between EEG and fMRI. (Top) An in...Figure 18.6 fMRI time series for a voxel sample.Figure 18.7 A schematic presentation of a GLM model for a sample fMRI time s...Figure 18.8 Gradient artefact for a sample segments of EEG signal recorded s...Figure 18.9 A set of 13‐channel EEG data covering the entire head, after gra...Figure 18.10 (a) Comparison between ICA and ICA‐DHT for BCG removal from EEG...Figure 18.11 Results of artefact removal from CZ channel using ICA (second f...Figure 18.12 A cycle of a BCG artefact in a sample segment of EEG signal.Figure 18.13 Topographic maps illustrating mu rhythm after the artefact is r...Figure 18.14 Simulated fMRI including the sources and corresponding time cou...Figure 18.15 Computed SIR of source of interest for different methods.Figure 18.16 Auditory data analysis results obtained from KL I‐divergence me...Figure 18.17 Visual data analysis results obtained from KL I‐divergence meth...Figure 18.18 Detected BOLD (top) with its corresponding time course (bottom)...Figure 18.19 Schematic of different steps of model‐based EEG–fMRI analysis....Figure 18.20 EEG electrode and fNIRS optode positions for imaginary movement...Figure 18.21 Example of a typical ‘BOLD’ response recorded by fNIRS in a tas...Figure 18.22 (a) Experimental setup and task procedure. The participant perf...

1 Cover Page

2 Title Page

3 Copyright Page

4 Preface to the Second Edition

5 Preface to the First Edition

6 List of Abbreviations

7 Table of Contents

8 Begin Reading

9 Index

10 Wiley End User License Agreement

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