Imaging cortical sources of activity is potentially useful in assisting treatment of patients with conditions such as epilepsy. Imaging is usually performed using CT/MRI, which are costly. EEG provides a cost-effective alternative. However, EEG has low spatial resolution.
To develop array signal processing techniques that will improve the spatial resolution of EEG. This will allow for an effective and low-cost solution for monitoring cortical activity.
An iterative non-parametric imaging algorithm was used in conjunction with a transfer function based calibration algorithm to account for uncertainties in the response of the EEG system.
EEG signals collected from epileptic human subjects in a clinical environment were processed. Initial results show that the developed signal processing techniques demonstrate good levels of sensitivity and specificity, and may potentially provide a useful complement to existing clinical assessment methods.
Rabiya Momin, Hasan Mir and Hasan Al-Nashash, "Estimation of Cortical Source Location and Signal with Uncertain EEG Leadfield Matrix," Proceedings of the 5th International Work-Conference on Bioinformatics and Biomedical Engineering (IWBBIO 2017), Granada, Spain, April 26-28, 2017.