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