Nonlinear Time Series Analysis for Prediction and Characterization of Brain Epileptic Activities

This research involves mathematical analysis of the recorded brain electrical signals in epilepsy patients with the aim of developing a seizure prediction and classification system. The seizure is an abnormal activity of the brain cells that requires immediate medical attention. The process of recording brain signals is performed for clinical and diagnosis purposes by the medical staff while the intern will be responsible for analysis of the recorded signals to design a predication algorithm and he will not be involved in data recording.

Intern: 
Amir Hossein Meghdadi
Faculty Supervisor: 
Dr. Reza Fazel-Rezai
Province: 
Manitoba
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