Neurologists often use EEGs to help diagnose epilepsy, but routine recordings offer only about a 20-minute snapshot of brain activity. Without a seizure captured during that window, clinicians must ...

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 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 ...

Epilepsy is one of the most common neurological diseases in the world, afflicting more than 50 million people. While most forms can be treated with therapeutics, patients with drug-resistant epilepsy ...

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 ...

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