This comes in the form of a wearable EEG device that uses machine learning to help detect epileptic seizures up to an hour before it actually happens. This means that whenever the device detects a potential seizure, it can warn the wearer that it might happen and from there, the person can take medication that will help deal with the seizures, or at least ensure that if it happens, they are in a safe place, or they can call for help.
This wearable device is actually not the first of its kind. Researchers from the University of Louisiana at Lafayette actually developed a similar device back in 2019 that achieved similar levels of results. However, the researchers from BGU are claiming that their device actually uses less EEG electrodes, which means that it could result in a smaller and more compact device if it were ever to be commercialized.
So far based on their testing, it seems that their algorithms have managed to achieve around 95-97% accuracy. Even if there were false positives, we suppose that’s not necessarily a bad thing. After all, it’s better to be safe than sorry.