December 11, 2017

Personalized epilepsy seizure prediction a possibility with AI, according to EBioMedicine report

According to research findings, “Epileptic Seizure Prediction Using Big Data and Deep Learning: Toward a Mobile System” [1]:

Deep learning in combination with neuromorphic hardware can provide the basis for a wearable, real-time, always-on, patient-specific seizure warning system with low power consumption and reliable long-term performance.

Harnessing the recent breakthroughs in deep learning techniques and in building specialized processing chips, [researchers] have demonstrated that seizures can now be predicted by a portable device. [The] system automatically learns patient-specific pre-seizure signatures, and, in real time, warns of oncoming seizures.

Data for the study were collected for a previous clinical trial of an implanted seizure advisory system. This study may serve as a benchmark for new work exploring deep learning enabled seizure prediction.