People with from spinal cord injuries often lose some or all their limb function. In most patients, the nerves in their limbs work fine, and the neurons in their brain are still operational, but the ...

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 ...

WASHINGTON — An inspector general’s investigation into Defense Secretary Pete Hegseth’s use of the Signal messaging app to discuss sensitive military operations in Yemen with national security ...

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 ...

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.