A team at BGU in Negev, Israel, has developed a new wearable device that can alert users an hour before they have a seizure. The wearable device uses AI detection algorithms to analyze electroencephalogram (ECG) in real time, and sends an alert to the user’s smartphone if it identifies an indicative brain pattern. < / P > < p > this technology, known as epiness, can help patients prevent seizures and let them know that they are taking drugs before seizures. Since 30% of epileptic seizures are not taken in time, the device can provide enough time before seizures to take preventive measures to eliminate the risk of related injuries. According to scientists, “epiness is a new and first device for detecting and predicting seizures based on machine learning algorithms.”. IEEE spectrum reported last year that researchers at the University of Louisiana proposed a similar AI design with almost the same accuracy (99.6%) and speed (one hour notification). But it’s not a wearable device, it’s just a set of algorithms. < / P > < p > BGU is ready for the commercialization of epiness. Neurohelp, a start-up owned by a new university, has licensed the technology for further commercial development. Dr Oren shriki of BGU said: “our algorithm has shown that it can significantly reduce the number of necessary EEG electrodes, so the device we are developing is accurate and user-friendly. We are currently developing a prototype that will be evaluated in clinical trials later this year. Privacy Policy

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