Researchers have developed a machine learning model capable of predicting whether a patient with depression will respond to ...

An overview of attention detection using EEG signals, which includes six steps: an experimental paradigm design, in which the task and the stimuli are defined and presented to the subjects; EEG data ...

Machine learning decodes brain signals for paralysis recovery in just one second using sensors placed on scalp not inside ...

People with spinal cord injuries often lose movement even though their brains still send the right signals. Researchers ...

An individual may become completely paralyzed because of any number of accidents that interfere with the functioning of the nerves in their body. People who have lost the ability to walk due to spinal ...

Please provide your email address to receive an email when new articles are posted on . A wearable, portable electroencelphalogram, or EEG, system will allow clinicians to rapidly review real-time ...

Picture a scene in which a cap with electrode sensors is fitted on to a person's scalp, connected to an electroencephalogram (EEG) scanner and activity from the person's brain can be recorded, and ...

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