A measure of brain complexity, derived from magnetic stimulation and EEG, can effectively evaluate conscious processing in ...
Hearing aids are quietly undergoing a revolution, shifting from simple sound amplifiers to wearable computers that can read ...
Tracking brain waves and eye signals could cut through the noise ...
AI powered analysis of routine EEG scans is now distinguishing Alzheimer’s disease from frontotemporal dementia while also estimating disease severity, offering faster and more affordable pathways to ...
Researchers at örebro University have developed two new AI models that can analyze the brain's electrical activity and accurately distinguish between healthy individuals and patients with dementia, ...
Researchers develop a novel topology-aware multiscale feature fusion network to enhance the accuracy and robustness of EEG-based motor imagery decoding Electroencephalography (EEG) is a fascinating ...
This repository contains the implementation, benchmarks, and supporting tools for my MSc dissertation project: Self-learning Variational Autoencoder for EEG Artifact Removal (Key code only). Benchmark ...
Firefly Neuroscience (NASDAQ:AIFF) stock gained after it unveiled its CLEAR (CLeaning EEG ARtifacts) Platform on Tuesday. This next-generation system is designed to deliver electroencephalogram (EEG) ...
Abstract: Alzheimer's disease (AD), is a prevalent neurodegenerative disorder, characterized by cognitive decline. Alongside AD, and Frontotemporal dementia (FTD) poses significant challenges in ...
Electroencephalogram (EEG) signal analysis plays a vital role in diagnosing and monitoring alcoholism, where accurate classification of individuals into alcoholic and control groups is essential.