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 ...

In APL Bioengineering, researchers use a machine learning algorithm to explore whether electroencephalography could be useful ...

A brain cap and smart algorithms may one day help paralyzed patients turn thought into movement—no surgery required.

Abstract: Hybrid motor imagery brain-computer interfaces (MI-BCIs), which integrate both electroencephalography (EEG) and functional near-infrared spectroscopy (fNIRS) signals, outperform those based ...

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 ...

Abstract: The automated classification and prediction of epileptic seizures using electroencephalography (EEG) remains a dynamic and critical area of interdisciplinary research, situated at the ...