ADFCNN: Attention-Based Dual-Scale Fusion Convolutional Neural Network for Motor Imagery Brain–Computer Interface

ADFCNN: Attention-Based Dual-Scale Fusion Convolutional Neural Network for Motor Imagery Brain–Computer Interface

Information Science, Automation, Artificial Intelligence, Medicine, Neurology, Life Sciences, Bioengineering,
Attention   Dual-Scale Fusion   Convolutional Neural Network   Motor Imagery   Brain-Computer Interface   EEG   Self-Attention Mechanism  

Brain-Computer Interface (BCI) has emerged as an enhanced communication and control technology in recent years. In BCI based on electrophysiological characteristics (such as Electroencephalogram, EEG), Motor Imagery (MI) is an important branch that decodes users’ motor intentions for use in clinical rehabilitation, intelligent wheelchair control, c...

An Attention-Based Deep Learning Approach for Sleep Stage Classification with Single-Channel EEG

Engineering, Electrical Engineering, Information Science, Artificial Intelligence, Medicine, Medical Laboratory Science, Neurology,
Attention   Deep Learning   Sleep Stage   Single-Channel EEG   Feature Extraction   Automatic Classification   Temporal Dependencies  

The IEEE “Transactions on Neural Systems and Rehabilitation Engineering” published a paper titled “Sleep Stage Classification Using Attention-Based Deep Learning for Single-Channel EEG” in Volume 29, 2021. The author of the article include Emadeldeen Edele, Zhenghua Chen, Chengyu Liu, Min Wu, Chee-Keong Kwoh, Xiaoli Li, and Cuntai Guan. The main go...

Spatiotemporal Brain Hierarchies of Auditory Memory Recognition and Predictive Coding

Spatiotemporal Brain Hierarchies of Auditory Memory Recognition and Predictive Coding

Information Science, Computer Science, Medicine, Psychiatry, Neurology, Medical Imaging, Life Sciences, Biophysics,
auditory memory   predictive coding   brain hierarchies   magnetoencephalography   musical memory  

The Spatiotemporal Hierarchical Structure of the Brain in Auditory Memory Recognition and Predictive Coding Background This study aims to explore the hierarchical brain mechanisms involved in human identification of previously memorized music sequences and their systematic changes. While extensive research has been conducted on neural processing of...

Expanding the Clinical Application of OPM-MEG Using an Effective Automatic Suppression Method for the Dental Brace Metal Artifact

Information Science, Artificial Intelligence, Medicine, Neurology, Medical Imaging, Life Sciences, Biophysics,
magnetoencephalography   optically pumped magnetometers   clinical applications   metallic artifacts   artifact suppression  

Expanding the Clinical Application of OPM-MEG: An Effective Method for Automatically Suppressing Metal Artifacts from Dental Braces Background Magnetoencephalography (MEG) is a technique that uses multi-channel magnetic field measurement sensors to reconstruct the neural current distribution and functional networks of the brain. Compared to electro...

Analysis of Cerebral CT Based on Supervised Machine Learning as a Predictor of Outcome After Out-of-Hospital Cardiac Arrest

Information Science, Artificial Intelligence, Medicine, Emergency Medicine, Neurology, Medical Imaging,
cerebral CT   machine learning   out-of-hospital cardiac arrest   prognosis   gray matter   neurological injury  

Brain CT Analysis as a Tool for Outcome Prediction after Out-of-Hospital Cardiac Arrest: A Supervised Machine Learning Analysis Research Background Out-of-Hospital Cardiac Arrest (OHCA) is one of the leading causes of death in the Western world, with extremely low survival rates, ranging from 3% to 16%. The neurological and overall outcomes after O...

Method for Localizing the Seizure Onset Zone in Refractory Epilepsy Patients

Information Science, Computer Science, Artificial Intelligence, Medicine, Medical Laboratory Science, Neurology, Neurosurgery,
refractory epilepsy   seizure onset zone   seizure   stereoelectroencephalography   interictal epileptiform discharge   traveling wave  

In recent years, refractory epilepsy has received increasing attention from the medical community. Refractory epilepsy is defined as the continuing occurrence of severe seizures despite treatment with two appropriate antiepileptic drugs. For patients who are unresponsive to drug treatment, if the seizure onset zone (SOZ) can be accurately localized...