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.
Goal
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.
Method
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.
Result
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.
T. Zarghami, H. Mir, and H. Al-Nashash. "Recursive MEG and EEG Source Localization," Proceedings of 2012 International Conference of Systems Biology and Bioengineering, London, June 2012.