Seizureless epileptic seizures can happen unexpectedly, so scientists are looking for the best way to predict them. Researchers from St. Petersburg State University have made great progress in this – they have developed a neural network to detect such seizures, based on electroencephalography (EEG) data.
Seizures occur due to a sudden electrical discharge in brain neurons, therefore they are so hard to predict in advance. Pirogov. After that, her conclusions were compared with the diagnoses of real doctors.
It is reported that the results of the algorithm and physicians coincided in 80% of cases. When the scientists excluded 23 low-quality EEG recordings, they found that the accuracy of the computer reached 100%.
Earlier, Innopolis University also developed an algorithm with which scientists trained a neural network to predict epilepsy attacks.