Historically, seizure action plans have focused on certain high-risk groups—such as people with drug-resistant epilepsy and ...

Australia-based company Epiminder has received Food and Drug Administration (FDA) authorisation through the De Novo classification for its implantable continuous electroencephalogram (EEG) monitoring ...

Stress can trigger seizures in people with or without epilepsy. Learn how it affects the brain, the difference between ...

Epiminder announced that it received FDA de novo authorization for its implantable continuous electroencephalogram monitoring ...

MELBOURNE, Australia and DALLAS, April 23, 2025 /PRNewswire/ -- Epiminder, a pioneering medical device and information solutions company, today announced that it has been granted FDA authorisation via ...

While current deep learning methods have demonstrated notable efficacy in EEG denoising, single-channel approaches primarily focus on temporal features and neglect inter-channel correlations.

Mike Frazier was living the dream. The 2013 graduate of Frederick County’s Millbrook High School moved to Seattle in 2022 ...

Abstract: Accurate prediction and detection of epileptic seizures using electroencephalogram ... designed to address challenges in noise reduction and temporal pattern recognition in EEG signals. The ...

“This rare form of seizure is typically associated with abnormal activity in the brain’s frontal lobe, particularly the supplementary ... “Electroencephalogram (EEG) monitoring plays a crucial role in ...

Researchers at Mayo Clinic have developed an innovative deep brain stimulation (DBS) platform that was used to not only reduce seizures ... patients with temporal lobe epilepsy throughout their ...

Levetiracetam decreased high-frequency oscillations in patients with AD and epilepsy and increased them ... with simultaneous electroencephalography (EEG) for 10 minutes starting at 40 minutes ...

Objective We sought to augment the presurgical workup of medically refractory temporal lobe epilepsy by creating a supervised machine learning technique that uses diffusion-weighted imaging to ...