Developing diagnostic pipelines for Magnetoencephalography (MEG) data analysis | Master's Directed Studies

I focused on data mining and processing public MEG datasets to diagnose patients. My goal is to distinguish between healthy and unhealthy individuals. I analyzed and characterized various signal processing methods, leveraging machine learning techniques for this purpose. By delving into the data, I aimed to develop effective diagnostic tools. My work involved exploring intricate patterns within the datasets to enhance diagnostic accuracy.

Jan 01, 2024