Cortical Source Imaging Using EEG

Dr. Hasan Mir and Dr. Hasan Al-Nashash

Department of Electrical Engineering

Email: [email protected] and [email protected]

Motivation

• 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.

Publications

• R. Momin, H. Mir and H. Al-Nashash, “Cortical Source Localization and Signal Estimation Without Exact Knowledge of the Lead field Matrix,” IEEE Sensors Journal, Vol. 17, Issue 2, pp. 450-458, January 2017.
• 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, H. Al-Nashash, “Transfer-Function-Based Calibration of Sparse EEG Systems for Brain Source Localization,” IEEE Sensors Journal, Vol. 15, No. 3, pp. 1504-1514, March 2015.
• T. Zarghami, Hasan S. Mir, Hasan Al-Nashash, “Calibration of Low Density EEG Sensor Arrays for Brain Source Localization,”  Neural Information Processing, Lecture Notes in Computer Science, Volume 7663, pp. 331-338, 2012.
• 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.