Latest Articles for EEG

This study explores how the brain maintains balance during difficult tasks.

Exploring the intersection of Riemannian geometry and EEG signal analysis in BCIs.

Research improves seizure prediction methods to enhance patient safety and quality of life.

Researchers improve speech decoding using EEG to help those with speech impairments.

Research reveals how music influences brain activity using organoid intelligence.

New mindfulness BCI system offers relief for car sickness symptoms during travel.

New research reveals differences in sleep patterns between children with epilepsy and healthy peers.

New model enhances EEG analysis for accurate dementia diagnosis.

Research explores single-channel EEG systems for improved brain-computer interfaces.

A novel technique improves machine learning for EEG data across diverse sources.

A model enhances gaze prediction accuracy using brain signals efficiently.

A study investigates brain activity and its link to chronic pain.

A new method enhances EEG analysis for better detection of Parkinson's disease.

HiSTN uses EEG data to classify emotions effectively with minimal resources.

Researchers enhance gaze prediction accuracy through improved EEG data processing methods.

Research improves gaze prediction accuracy through innovative EEG modeling techniques.

A new method aims to predict driving intentions through brain activity monitoring.

New method translates brain signals into coherent sentences for improved communication.

Study links brain activity to cognitive skills in Alzheimer's and frontotemporal dementia patients.

Exploring masked autoencoders and their impact on EEG data analysis.

SPEED enhances EEG data preprocessing for better machine learning results.

Research highlights differences in brain activity during distraction and concentration.

A new method enhances detection of the 'Liking' emotion from EEG data.

This article examines advancements in eye-tracking using EEG and deep learning techniques.

A novel approach using EEG data may improve early detection of Alzheimer's.

This study explores brain responses linked to motivation while cycling.

New LightCNN model offers efficient classification of Parkinson's Disease using EEG signals.

A new method combines EEG, audio, and facial expressions to assess mental health.

A study on using EEG to classify human emotions accurately.

A new method enhances BCI performance by adapting to individual brain signals.

Research links EEG patterns to brain lesions, enhancing stroke rehabilitation strategies.

A new model aims to translate brain activity into readable language.

New machine learning model improves EEG data analysis for mental workload evaluation.

A study reveals a method to accurately detect driver fatigue through brain activity.

Research reveals brain chirp patterns could aid in seizure understanding and treatment.

Research reveals insights into pilots' cognitive functions during flight tasks.

DrowzEE-G-Mamba uses brain data to enhance driver safety by monitoring drowsiness.

A new method improves signal separation efficiency in various applications.

A method to classify complex time series data using spectral analysis.

New methods in brain imaging promise faster insights and personalized treatment options.