Evangelia-Regkina Symeonidou

Research Group:

Supervisor: Betty Mohler and Daniel Ferris

A great amount of effort has been made the past years in moving EEG collections out of the lab into the real world to study more natural behaviors. However, EEG motion artifacts arise during dynamic tasks and locomotion, masking the neural signals of interest. To overcome this challenge and collect meaningful data, we have to come up with better software and hardware solutions. During my PhD, I looked into how to modify different EEG hardware components to increase the recorded signal quality during motion. This is especially critical, because as a next step, I plan to combine augmented reality with EEG to study brain dynamics in a paradigm that involves over ground walking and dynamic movements such as ducking, jumping sideways, and other. As the last objective, I’d like to integrate these technologies and use them to record brain activity during over-ground walking in older and clinical populations.