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 ...

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 ...

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 ...

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 ...

Background and Aim: Since there is compelling evidence that seizures are harmful to the immature developing brain, accurate seizure detection at the cotside is imperative. Multichannel EEG is a ...

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 ...