ABSTRACT
This chapter provides a detailed and systematic discussion on various characteristics of results obtained for electroencephalography (EEG) data inversion through various classical and new techniques. The results are divided into two main categories, that is, either from synthetic data or from real-time EEG data, respectively. The synthetic data are observed for five different SNR levels. The detailed discussion is provided for all methods where these methods are compared in terms of free energy, localization error (only for synthetic data), and computational time. Similar methodology was followed for real-time EEG data where the number of subjects is maintained at 10. The localization was observed for reduced electrodes with simple mapping of 74 electrodes into 7-electrodes only. However, with reduced number of electrodes, the free energy is optimized as seen in the results. It is observed that the modified MSP is compared with classical and MSP algorithms in terms of free energy and computational complexity.
