IEEE

Deep Learning Approaches for EEG-Motor Imagery-Based BCIs: Current Models, Generalization Challenges, and Emerging Trends

Abstract: This study critically examines the evolution of deep learning (DL) for electroencephalogram (EEG) based motor imagery (MI) decoding with a focus on real-time Brain Computer Interfaces (BCIs) ...

AI analysis of data from multiple sensors can improve earthquake detection

One seismometer is often not enough to reliably detect earthquakes or human activity such as underground nuclear tests.

Digital mindfulness intervention beneficial for late-life depression

A digital mindfulness intervention with electroencephalogram (EEG) feedback—the FocusZen Mindfulness Stress Reduction ...

AI deciphers long-range DNA signals behind RNA splicing

Accurate RNA splicing is essential for gene expression and human health, yet predicting how DNA sequence variations affect ...
IEEE

NeuroExplain: An Explainable Deep Learning Framework for Multiclass Emotion Recognition from Gameplay EEG

Abstract: This paper presents a novel framework for emotion detection from electroencephalogram (EEG) signals, integrating both deep learning and traditional machine learning approaches to enhance ...