Main description:

The proposed book studies various aspects and applications of EEG (Electroencephalography) source localization techniques related to engineering and clinical applicatons for various brain disorder studies. It provides analysis for major aspects related to forward modeling and inverse modeling, which is important for neuro-clinicians and engineers working in brain sciences. These techniques are implemented using MATLAB codes, thus results are compared in terms of accuracy, computational complexity and localization errors respectively. This greatly assists bioengineers and clinicians in the research and diagnosis of such common brain disorders as epilepsy, schizophrenia, Parkinsons, etc.

Contents:

Introduction. Neuroimaging Techniques for Brain Analysis. EEG Forward Problem-1:Mathematical Background. EEG Forward Problem-II: Head Modeling Approaches. EEG Inverse Problem I: Classical Techniques. EEG Inverse Problem II: Hybrid Techniques. EEG Inverse Problem III: Subspace Based Techniques. EEG Inverse Problem IV: Baysesian Techniques. EEG Inverse Problem-V: Results and Comparison. Future Directions for EEG Source Localization. References. Appendix A: Pseudo-Codes for Classical and Modern Techniques. Appendix B: MATLAB Code for Implementation. Appendix C: Listing of Software for EEG Signal Processing.