AI system can predict epileptic seizures

Melbourne, May 31: Scientists have developed an artificial intelligence system that can predict and alert an epileptic patient when an seizure is likely to strike, using low- cost wearable technology.

Epileptic seizures strike with little warning and nearly one third of people living with epilepsy are resistant to treatment that controls these attacks. More than 65 million people worldwide are living with epilepsy.

“We are on track to develop an affordable, portable and non- surgical device that will give reliable prediction of seizures for people living with treatment- resistant epilepsy,” said Omid Kavehei from the University of Sydney in Australia. In a study published in the journal Neural Networks, researchers have proposed a generalised, patient- specific, seizure-prediction method that can alert epilepsy sufferers within 30 minutes of the likelihood of a seizure.

There had been remarkable advances in artificial intelligence as well as micro and nanoelectronics that have allowed the development of such systems, Dr Kavehei said.

“Just four years ago, you couldn’t process sophisticated AI through small electronic chips. Now it is completely accessible. In five years, the possibilities will be enormous,” Dr Kavehei said.

The study uses three data sets from Europe and the US.

Using that data, the team has developed a predictive algorithm with sensitivity of up to 81.4 per cent and false prediction rate as low as 0.06 an hour.

“While this still leaves some uncertainty, we expect that as our access to seizure data increases, our sensitivity rates will improve,” Dr Kavehei said.

Researchers used deep machine learning and data- mining techniques to develop a dynamic analytical tool that can read a patient’s electroencephalogram ( EEG) data from a wearable cap or other portable device to gather EEG data.

Wearable technology could be attached to an affordable device that could give a patient a 30minute warning and percentage likelihood of a seizure.