Epilepsy Early Warning
An "Early Warning" Device to Allow Epilepsy Patients to Live a More Normal Life.
Goal: The goal of the proposed research is to develop a wearable "early warning" device attached to an implantable microelectrode array that will give otherwise untreatable epilepsy patients enough time to take a medicine or prepare for the seizure (e.g. get out of the pool, pull the car over to side of the road or get off a ladder or stairs). The device would use detector software based on advanced machine learning technology to detect an impending seizure. The learning system would be trained with data from the implanted electrode array, collected while the patient experiences seizures in the Schevon-Emerson laboratory. The trained system would then monitor the patient continuously, using a small computer carried by the patient, and reliably warn the patient in advance of seizures. Such a system would allow patients who cannot be treated successfully today (with drugs or surgery) to live a much more normal life.
MathWorks, Inc signs a pilot agreement with CCLS to test scalability of Distributed Computing Server on the Amazon Cloud Infrastructure
A team from CCLS (Haimonti Dutta, Hatim Diab and Manoj Pooleery) is collaborating with MathWorks, Inc. to test the scalability of MATLAB Parallel Computing Toolbox and Distributed Computing Server (MDCS) on the Amazon EC2 / S3 Cloud.
"A New Approach to Predicting Epileptic Seizures" - The June 2009 issue of IEEE Spectrum features the work done by The Epilepsy Early Warning (EWARN) project team.