A study by University of Melbourne researchers reveals clinically relevant epileptic seizure prediction is possible in a wider range of patients than previously thought, thanks to the crowdsourcing of ...

Predictions for identifying 1-year seizure recurrence performed significantly better in electroencephalography (EEG) without interictal epileptiform discharges. An automated processing algorithm ...

A new automated computer algorithm for the diagnosis of epilepsy from electroencephalogram (EEG) readings ― developed by analyzing multiple expert opinions on thousands of such readings ― has shown ...

After developing a wearable device that can automatically detect seizures in people with epilepsy and immediately notify their caregivers, Empatica is planning to take the technology even further. The ...

Two years ago, the American Epilepsy Society raised the Seizure Prevention Challenge to 502 research teams around the globe. The goal was to design a method to help epileptic patients accurately ...

A study by University of Melbourne researchers reveals clinically relevant epileptic seizure prediction is possible in a wider range of patients than previously thought, thanks to the crowdsourcing of ...

Researchers from the Indian Institute of Technology – Delhi have come up with a novel algorithm that can localise the epileptogenic zone using a patient's EEG data. In cases of drug-resistant ...

Computer scientists and mathematicians at the CEU Cardenal Herrera University in Valencia have developed a prediction model that can warn epileptic sufferers of an upcoming seizure with 20 minutes ...

Computer scientists and mathematicians have developed a prediction model that can warn epileptic sufferers of an upcoming seizure with 20 minutes notice. Computer scientists and mathematicians at the ...

A study by University of Melbourne researchers reveals clinically relevant epileptic seizure prediction is possible in a wider range of patients than previously thought, thanks to the crowdsourcing of ...