High Performance Data Analytics for Brain State Modeling

Hong Lin, University of Houston-Downtown

Usage Details

Hong Lin, Caleb Ji, Shalini Anumandla, Neha Dhaliwal, Francisca Ifebuzor, Brent Halen, Vic Bhagwandin, Vy Nguyen, Chenwei Pan, Jonathan Parker, Rachel Salaiz, Deepa Dongarwar, Crystal LLanas, Durga Suryanarayanan, Lalit Grover, Ali Alhamadani, John Henderson, Onoriode Okoro, Paige Bailey, Tze Horng Chin, Hari Chandana Dronavalli, Emre Karakus

This project aims to build a system for dynamic and onsite brain state analysis using physiological data. Our existing system consists of a web server with an SQL database for data storage, mobile app with user interface, and EEG headset. The web server performs onsite data analysis and testing on selected data from the database. High performance computing platform provides computational power to ensure real time processing of requests. The student will work on feature extraction from physiological data and perform thorough testing to maximize the recognition rates of the brain state models. Parallel programs, including Parallel R, will be used to develop the back-end programs to ensure real-time processing the physiological data.