AIMC Topic: Electroencephalography

Clear Filters Showing 491 to 500 of 2121 articles

Classification of Visually Induced Motion Sickness Based on Phase-Locked Value Functional Connectivity Matrix and CNN-LSTM.

Sensors (Basel, Switzerland) Jun 18, 2024
To effectively detect motion sickness induced by virtual reality environments, we developed a classification model specifically designed for visually induced motion sickness, employing a phase-locked value (PLV) functional connectivity matrix and a C...
Virtual Reality Electroencephalography Motion Sickness Young Adult Adult Male Machine Learning Algorithms Female Humans Neural Networks, Computer
View on PubMed DOI

Leveraging temporal dependency for cross-subject-MI BCIs by contrastive learning and self-attention.

Neural networks : the official journal of the International Neural Network Society Jun 17, 2024
Brain-computer interfaces (BCIs) built based on motor imagery paradigm have found extensive utilization in motor rehabilitation and the control of assistive applications. However, traditional MI-BCI systems often exhibit suboptimal classification per...
Brain-Computer Interfaces Algorithms Humans Deep Learning Imagination Time Factors Adult Neural Networks, Computer Electroencephalography Male Machine Learning
View on PubMed DOI

Automated diagnosis of schizophrenia based on spatial-temporal residual graph convolutional network.

Biomedical engineering online Jun 17, 2024
BACKGROUND: Schizophrenia (SZ), a psychiatric disorder for which there is no precise diagnosis, has had a serious impact on the quality of human life and social activities for many years. Therefore, an advanced approach for accurate treatment is requ...
Humans Neural Networks, Computer Spatio-Temporal Analysis Schizophrenia Diagnosis, Computer-Assisted Automation Electroencephalography Signal Processing, Computer-Assisted
View on PubMed DOI

EEG emotion recognition based on data-driven signal auto-segmentation and feature fusion.

Journal of affective disorders Jun 15, 2024
Pattern recognition based on network connections has recently been applied to the brain-computer interface (BCI) research, offering new ideas for emotion recognition using Electroencephalogram (EEG) signal. However unified standards are currently lac...
Brain-Computer Interfaces Emotions Algorithms Electroencephalography Brain Signal Processing, Computer-Assisted Male Humans Female Support Vector Machine Young Adult Adult
View on PubMed DOI

Brain-computer interfaces inspired spiking neural network model for depression stage identification.

Journal of neuroscience methods Jun 15, 2024
BACKGROUND: Depression is a global mental disorder, and traditional diagnostic methods mainly rely on scales and subjective evaluations by doctors, which cannot effectively identify symptoms and even carry the risk of misdiagnosis. Brain-Computer Int...
Electroencephalography Brain-Computer Interfaces Brain Adult Deep Learning Depression Models, Neurological Action Potentials Humans Neural Networks, Computer
View on PubMed DOI

GCTNet: a graph convolutional transformer network for major depressive disorder detection based on EEG signals.

Journal of neural engineering Jun 14, 2024
Identifying major depressive disorder (MDD) using objective physiological signals has become a pressing challenge.Hence, this paper proposes a graph convolutional transformer network (GCTNet) for accurate and reliable MDD detection using electroencep...
Neural Networks, Computer Algorithms Female Humans Middle Aged Depressive Disorder, Major Electroencephalography Signal Processing, Computer-Assisted Young Adult Adult Male
View on PubMed DOI

Driving Cognitive Alertness Detecting Using Evoked Multimodal Physiological Signals Based on Uncertain Self-Supervised Learning.

IEEE transactions on neural systems and rehabilitation engineering : a publication of the IEEE Engineering in Medicine and Biology Society Jun 13, 2024
Multimodal physiological signals play a pivotal role in drivers' perception of work stress. However, the scarcity of labels and the multitude of modalities render the utilization of physiological signals for driving cognitive alertness detection chal...
Attention Cognition Linear Models Humans Heart Rate Entropy Electroencephalography Algorithms Automobile Driving Uncertainty Supervised Machine Learning Male
View on PubMed DOI

An optimized EEGNet decoder for decoding motor image of four class fingers flexion.

Brain research Jun 12, 2024
As a cutting-edge technology of connecting biological brain and external devices, brain-computer interface (BCI) exhibits promising applications on extensive fields such as medical and military. As for the disable individuals with four limbs losing t...
Neural Networks, Computer Brain Female Humans Electroencephalography Brain-Computer Interfaces Fingers Movement Young Adult Adult Male
View on PubMed DOI

TPRO-NET: an EEG-based emotion recognition method reflecting subtle changes in emotion.

Scientific reports Jun 12, 2024
Emotion recognition based on Electroencephalogram (EEG) has been applied in various fields, including human-computer interaction and healthcare. However, for the popular Valence-Arousal-Dominance emotion model, researchers often classify the dimensio...
Electroencephalography Adult Humans Arousal Male Neural Networks, Computer Female Emotions
View on PubMed DOI

LCADNet: a novel light CNN architecture for EEG-based Alzheimer disease detection.

Physical and engineering sciences in medicine Jun 11, 2024
Alzheimer's disease (AD) is a progressive and incurable neurologi-cal disorder with a rising mortality rate, worsened by error-prone, time-intensive, and expensive clinical diagnosis methods. Automatic AD detection methods using hand-crafted Electroe...
Signal Processing, Computer-Assisted Alzheimer Disease Neural Networks, Computer Algorithms Electroencephalography Humans
View on PubMed DOI
Popular Topics
Recent Journals