TMCnet

BrainScope's EEG-Based Biomarker Predicts Dementia Risk Up to 7 Years Before Initial Diagnosis, Published in Nature Scientific Reports

Using EEG data from the initial evaluation in older adults reporting only subjective memory concerns, this longitudinal study ...

Muse Brings Deep Sleep Stimulation Home

Muse today announced Deep Sleep Boost (DSB), a new sleep feature designed to help users sustain deeper, more stable slow-wave ...
IEEE

Machine Learning EEG signal processing for Driver Fatigue Detection in Brain-Computer Interface Applications

Abstract: This paper presents a real-time EEG signal processing system for detecting driver fatigue, implemented as part of a Brain-Computer Interface (BCI) application. The system leverages EEG ...
The Brighterside of News on MSN

Noninvasive brain scanning could restore movement after spinal cord injury

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 ...
IEEE

Systematic Analysis of EEG Signal based Epilepsy Seizure Detection by Using Machine Learning and Deep Learning Models

Abstract: The neurological events like unusual electrical activity of brain, frequently resulting the loss of consciousness, involuntary movements or cognitive deflects can cause by the epileptic ...
Frontiers

Cortical hemodynamic responses and deep learning models of emotional face processing in preschool children with autism spectrum disorder: a fNIRS study

Purpose: The purpose of the present study was to characterize cortical hemodynamic responses during emotional face processing in preschool children with autism spectrum disorder (ASD) using functional ...