International Epilepsy Electrophysiology Portal

A team of researchers from Penn and the Mayo Clinic has challenged the best minds in science and “machine learning” to improve devices to predict epileptic seizure activity and to do so accurately. This competition is hosted on Kaggle.com and the ieeg.org. Up to $25,000 in prizes will be rewarded to the teams that provide the best results by the end of the competition.

Dear IEEG-Portal users,

The American Epilepsy Society, National Institutes of Health (NINDS), University of Pennsylvania, Mayo Clinic, and Kaggle.com announce the Seizure Detection Challenge:

https://www.kaggle.com/c/seizure-detection

Dear IEEG-Portal user:

We have just released a major update to the IEEG-Portal. The goal for this release was to significantly improve the flexibility of the web-console and to improve the usability of the Matlab Toolbox. Please make sure that you download the latest Matlab toolbox (ieeg-matlab-0.8.1.zip) from: https://code.google.com/p/braintrust/downloads/list

Major updates:

Some of our summer students have put together two short YouTube videos explaining the process of requesting a user-account and how to navigate on the IEEG-Portal. The videos can be found on the IEEG-Portal YouTube channel:

IEEG-Portal Channel

Dear IEEG-Portal user,

The number of projects on the portal is increasing steadily, and we are adding new capabilities to serve our growing community. We would like to inform you about some of the new features that are included in the latest release of the portal:

1) Data Handling, and Efficiency: You’ll notice that speed for downloading data is much improved. This includes both CSV downloads and interactions using the Matlab interface.

As of last week, the IEEG-Portal is running on the Amazon cloud. The web-server runs on an EC2 node and the data is stored using Amazon's S3 service. The transition from the servers at the University of Pennsylvania to Amazon will allow more users to log on simultaneously and provide a more expandable long term solution for the IEEG-Portal. We will open the portal to more users over the next few weeks.

Over the last couple of months, the IEEG-Portal team has been working hard to transition the Portal from the servers of the University of Pennsylvania to the Amazon Cloud. In addition, we are transferring the datasets to Amazon S3 storage. This transition will allow the project to expand and serve more users simultaneously and allows us to focus on new capabilities of the IEEG-Portal.