From hardware setup to data acquisition and analysis, depression researchers go through a long, convoluted process to understand electroencephalogram (EEG) data (popularly called brain waves) collected from patients. Acquired data is often messy and difficult to process, and analysis can take from hours to days to return results.

Our project, Slate, aims to change that by providing a platform that streamlines this process, and provides a fully interactive 3D model to visually digest the data. Slate is a cross-platform desktop application that consists of two parts: an EEG data processing tool, and a data visualization tool that allows depression researchers to view and analyze brain signals obtained through a non-invasive, commercial EEG headset. Slate utilizes real-time modeling and neuroimaging techniques to allow more meaningful understanding of EEG data in the process of interpreting and identifying depressive patterns in research, with the goal of ultimately serving patients.