IEEE

EEGUnity: Open-Source Tool in Facilitating Unified EEG Datasets Toward Large-Scale EEG Model

Abstract: The increasing number of dispersed EEG dataset publications and the advancement of large-scale Electroencephalogram (EEG) models have increased the demand for practical tools to manage ...
Medical Xpress

Topology-aware deep learning model enhances EEG-based motor imagery decoding

Electroencephalography (EEG) is a fascinating noninvasive technique that measures and records the brain's electrical activity. It detects small electrical signals produced when neurons in the brain ...
CU Boulder News & Events

Minds in rhythm

Imagine the cacophony of a conversation in which everyone talks, listens and responds at the same time. Trained musicians performing together can make a similar set of sensory inputs and brain ...
Hosted on MSN

School principal speaks about the tragic death of a 6-year-old student in Tampa who was hit by a car

The school principal of a 6-year-old girl who died after she and her family were hit by a car in Tampa speaks about the aftermath of the incident. Donald Trump pardoning Republicans sentenced to ...
Frontiers

Hilbert-Huang Transform Embedded Self-Attention Neural Network for EEG-based major depressive disorder vs. healthy controls classification

This paper proposes a novel approach for distinguishing Major Depressive Disorder (MDD) patients from healthy controls (HC), namely depression screening, using EEG signals, where the Hilbert-Huang ...
IEEE

Digital Phenotyping and Feature Extraction on Smartphone Data for Depression Detection

Abstract: Smartphones are widely used as portable data collectors for wearable and healthcare sensors that can passively collect data streams related to the environment, health status, and behaviors.