Seizure Prediction Challenge
Seizure forecasting can help patients with epilepsy lead more normal lives
Launch date: Friday 2 September 2016
Closing date: 11:59pm, Monday 21 November 2016 (UTC)
Test your data science skills against the one-of-a-kind long-term human intracranial EEG database from the world-first human clinical trial of the NeuroVista Seizure Advisory System that was co-ordinated by the University of Melbourne.
This device was implanted in the heads of epilepsy patients to record brain activity over a period of 6 months to 3 years. Typical recordings of intracranial EEG in humans only last up to two weeks and do not provide enough data to allow accurate evaluation of seizure prediction algorithms because often only a handful of seizures can be collected over two weeks. The durations of data in the NeuroVista dataset overcome this problem.
Analysis of the human NeuroVista dataset has indicated that seizure prediction in humans is in fact possible, however, improvements can still be achieved depending on the patient. This contest seeks to find improved methods by contributing data from 3 patients whose seizures are difficult to predict.
See the contest web page for further details.