A group project by: Gokul Krishna, Xiao Han, Divya bhargavi, Prakhar Agrawal, Neha Tevathia
Researchers using Electroencephalograms (“EEGs”) in order to diagnose clinical outcomes often run into computational complexity problems. In particular, extracting complex, sometimes non-linear, features from a large number of time series can take large amounts of time. In this project we create a system which uses cloud-based technologies to demonstrate that such tools can increase the efficiency of computation.
you can read more about the pipeline and how to set up in my blog post here
Python, PySpark, MongoDB, AWS S3, AWS EMR
This repository is the duplication of the original private repository with confidential contents removed.