The app that aims to predict epileptic fits

I’ve written a few times recently about new technologies that are hoping to help people suffering from epilepsy.  For instance, a recent project from UCL utilized machine learning to better spot epilepsy in children.

The research, which was a collaborative project between Young Epilepsy, UCL Great Ormond Street Institute of Child Health and the University of Cambridge, focused on Focal Cortical Dysplasia, which is a major cause of epilepsy in children. It describes the way the brain fails to form normally, and because the abnormalities tend to be small, they tend to be very difficult to pick up on MRI scans.

What would make such work even cooler is if they could predict the onset of a fit before it occurs, raising the potential of then intervening to prevent the seizure. That’s exactly what a team from Rice University set out to do.  The team developed an algorithm to predict when seizures might occur. After several iterations and a large dose of testing, it was able to predict seizures at least two minutes before their onset.

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