Synergy project

Chose this interesting EEG dataset as the focus https://www.kaggle.com/datasets/alexispomares/dissertation-raw

Now studying the interesting looking thesis related to it:

The overarching long-term goal of our research team is to develop a novel measure of brain state that can be easily used at the patient’s bedside, derived from the set of brain responses evoked by a multi-dimensional (i.e. potentially varying in intensity, time and space) ‘program’ of electrical neurostimulation. We want to leverage Artificial Intelligence (AI) to reliably automate—i.e. expedite and facilitate—the assessment of consciousness level, removing exposure to human error and simplifying the workflow of clinicians.

For this initial pilot study, our aim was to answer the following research question:

Can a Deep Learning algorithm even distinguish the EEG brain responses evoked by different types of electrical stimulation in distant cortical regions?