Real-Time Seizure Detection Possible with Learning Algorithm

December 30, 2015Share this article: Real-Time Seizure Detection Possible with Learning Algorithm PHILADELPHIA — Real-time data can help train a machine-learning algorithm to detect seizures prior to clinical symptoms, results from a small study indicate. The data were presented at the American Epilepsy Society Annual Meeting in Philadelphia. Previously, few technologies have been able to appropriately warn patients of an oncoming seizure due to the great variation in seizure onset patterns and seizure location. “The main advantage of our dynamic algorithm is the use of a novelty detecting machine-learning algorithm that constantly adapts to the variation in brain activity of the patient,” Daniel Ehrens, study author and PhD candidate at Johns Hopkins University, told Neurology Advisor. “This allows the algorithm to have a very robust behavior that is not affected by fluctuations in brain…


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