AIMC Topic: Electroencephalography

Clear Filters Showing 51 to 60 of 2114 articles

Retraining and evaluation of machine learning and deep learning models for seizure classification from EEG data.

Scientific reports May 2, 2025
Electroencephalography (EEG) is one of the most used techniques to perform diagnosis of epilepsy. However, manual annotation of seizures in EEG data is a major time-consuming step in the analysis process of EEGs. Different machine learning models hav...
Machine Learning Deep Learning Electroencephalography Epilepsy Seizures Humans Neural Networks, Computer
View on PubMed DOI

A depression detection approach leveraging transfer learning with single-channel EEG.

Journal of neural engineering May 2, 2025
Major depressive disorder (MDD) is a widespread mental disorder that affects health. Many methods combining electroencephalography (EEG) with machine learning or deep learning have been proposed to objectively distinguish between MDD and healthy indi...
Depressive Disorder, Major Deep Learning Electroencephalography Female Adult Male Neural Networks, Computer Machine Learning Humans
View on PubMed DOI

Convolutional Dynamically Convergent Differential Neural Network for Brain Signal Classification.

IEEE transactions on neural networks and learning systems May 2, 2025
The brain signal classification is the basis for the implementation of brain-computer interfaces (BCIs). However, most existing brain signal classification methods are based on signal processing technology, which require a significant amount of manua...
Brain-Computer Interfaces Brain Electroencephalography Signal Processing, Computer-Assisted Humans Neural Networks, Computer Algorithms
View on PubMed DOI

TasteNet: A novel deep learning approach for EEG-based basic taste perception recognition using CEEMDAN domain entropy features.

Journal of neuroscience methods Apr 30, 2025
BACKGROUND: Taste perception is the process by which the gustatory system detects and interprets chemical stimuli from food and beverages, involving activation of taste receptors on the tongue. Analyzing taste perception is essential for understandin...
Taste Perception Entropy Deep Learning Electroencephalography Neural Networks, Computer Signal Processing, Computer-Assisted Humans Young Adult Brain Adult Female Male
View on PubMed DOI

Topology-Guided Graph Masked Autoencoder Learning for Population-Based Neurodevelopmental Disorder Diagnosis.

IEEE transactions on neural systems and rehabilitation engineering : a publication of the IEEE Engineering in Medicine and Biology Society Apr 29, 2025
Exploring the pathogenic mechanisms of brain disorders within population is an important research in the field of neuroscience. Existing methods either combine clinical information to assist analysis or use data augmentation for sample expansion, ign...
Attention Deficit Disorder with Hyperactivity Neurodevelopmental Disorders Machine Learning Humans Child Female Algorithms Neural Networks, Computer Electroencephalography Male Autism Spectrum Disorder Autoencoder Adolescent
View on PubMed DOI

SMANet: A Model Combining SincNet, Multi-Branch Spatial-Temporal CNN, and Attention Mechanism for Motor Imagery BCI.

IEEE transactions on neural systems and rehabilitation engineering : a publication of the IEEE Engineering in Medicine and Biology Society Apr 29, 2025
Building a brain-computer interface (BCI) based on motor imagery (MI) requires accurately decoding MI tasks, which poses a significant challenge due to individual discrepancy among subjects and low signal-to-noise ratio of EEG signals. We propose an ...
Neural Networks, Computer Algorithms Adult Signal-To-Noise Ratio Humans Movement Signal Processing, Computer-Assisted Imagination Attention Brain-Computer Interfaces Male Deep Learning Electroencephalography
View on PubMed DOI

Tiny Convolutional Neural Network with Supervised Contrastive Learning for Epileptic Seizure Prediction.

International journal of neural systems Apr 28, 2025
Automatic seizure prediction based on ElectroEncephaloGraphy (EEG) ensures the safety of patients with epilepsy and mitigates anxiety. In recent years, significant progress has been made in this field. However, the predictive performance of existing ...
Humans Seizures Supervised Machine Learning Fourier Analysis Convolutional Neural Networks Electroencephalography Epilepsy
View on PubMed DOI

Demonstration of impaired facial emotion perception in temporal lobe epilepsy by theta responses in EEG.

International journal of psychophysiology : official journal of the International Organization of Psychophysiology Apr 28, 2025
OBJECTIVE: Temporale lobe and occipito-temporal cortical areas play an important role in facial emotion perception (FEP). FEP might be represented by event-related brain oscillations. In patients with temporal lobe epilepsy (TLE), impairment of FEP w...
Humans Female Middle Aged Emotions Electroencephalography Young Adult Adult Male Facial Expression Social Perception Epilepsy, Temporal Lobe Theta Rhythm Facial Recognition
View on PubMed DOI

TMNRED, A Chinese Language EEG Dataset for Fuzzy Semantic Target Identification in Natural Reading Environments.

Scientific data Apr 25, 2025
Semantic understanding is central to advanced cognitive functions, and the mechanisms by which the brain processes language information are still being explored. Existing EEG datasets often lack natural reading data specific to Chinese, limiting rese...
East Asian People Natural Language Processing Electroencephalography Semantics Reading Humans Language China
View on PubMed DOI

FusionXNet: enhancing EEG-based seizure prediction with integrated convolutional and Transformer architectures.

Journal of neural engineering Apr 25, 2025
. Effective seizure prediction can reduce patient burden, improve clinical treatment accuracy, and lower healthcare costs. However, existing deep learning-based seizure prediction methods primarily rely on single models, which have limitations in fea...
Humans Neural Networks, Computer Seizures Deep Learning Electroencephalography
View on PubMed DOI
Popular Topics
Recent Journals