Neuroimaging techniques are among the fastest growing research topics and attempt to study and understand neural activity associated with nervous system functions. Used as interfaces and clinical tools, electroencephalography (EEG) techniques measure voltage fluctuations resulting from neurons and electrical activity in the brain and associated circuits. To allow, web-based and easy to use EEG analysis software, we have developed an online platform to perform EEG data analysis and to verify recorded data. The data analysis platform was implemented with Jinja and MNE-Python tools allowing scalable and reasonably fast browser-based access to processing EEG datasets. With exporting datasets, setting markers to time and frequency domain analysis, the web-based platform allows users to perform rhythmic classification and topographical visualization of EEG spectrum in numerical and graphical formats for easy exploration by clinicians and data scientists.
N. P. Ramachandran, Kurup, R. Ramachandr, Alphonse, J., Chellaiah, P., Manjusha Nair, Dr. Bipin G. Nair, and Dr. Shyam Diwakar, “Design and Implementation of an Open-Source Browser-based Laboratory Platform for EEG Data Analysis”, in 2018 International Conference on Advances in Computing, Communications and Informatics (ICACCI), Bangalore, India, 2018.