Exploring Feature Selection and Classification Techniques to Improve the Performance of an Electroencephalography-Based Motor Imagery Brain–Computer …
The accuracy of classifying motor imagery (MI) activities is a significant challenge when
using brain–computer interfaces (BCIs). BCIs allow people with motor impairments to control …
using brain–computer interfaces (BCIs). BCIs allow people with motor impairments to control …
[HTML][HTML] EEG channel selection for stroke patient rehabilitation using BAT optimizer
Stroke is a major cause of mortality worldwide, disrupts cerebral blood flow, leading to
severe brain damage. Hemiplegia, a common consequence, results in motor task loss on …
severe brain damage. Hemiplegia, a common consequence, results in motor task loss on …
A brief survey on human activity recognition using motor imagery of EEG signals
Human being's biological processes and psychological activities are jointly connected to the
brain. So, the examination of human activity is more significant for the well-being of humans …
brain. So, the examination of human activity is more significant for the well-being of humans …
3-Channel Motor Imagery Classification using Conventional Classifiers and Deep Learning Models
Brain-computer interfaces (BCIs) are one of the important applications based on motor
imagery classification using EEG signals. BCIs are designed to help patients afflicted with …
imagery classification using EEG signals. BCIs are designed to help patients afflicted with …
[HTML][HTML] An Empirical Model-Based Algorithm for Removing Motion-Caused Artifacts in Motor Imagery EEG Data for Classification Using an Optimized CNN Model
Electroencephalography (EEG) is a non-invasive technique with high temporal resolution
and cost-effective, portable, and easy-to-use features. Motor imagery EEG (MI-EEG) data …
and cost-effective, portable, and easy-to-use features. Motor imagery EEG (MI-EEG) data …
Multimodal brain-controlled system for rehabilitation training: Combining asynchronous online brain–computer interface and exoskeleton
L Liu, J Li, R Ouyang, D Zhou, C Fan, W Liang… - Journal of Neuroscience …, 2024 - Elsevier
Background: Traditional therapist-based rehabilitation training for patients with movement
impairment is laborious and expensive. In order to reduce the cost and improve the …
impairment is laborious and expensive. In order to reduce the cost and improve the …
Toward calibration-free motor imagery brain–computer interfaces: a VGG-based convolutional neural network and WGAN approach
Objective. Motor imagery (MI) represents one major paradigm of Brain–computer interfaces
(BCIs) in which users rely on their electroencephalogram (EEG) signals to control the …
(BCIs) in which users rely on their electroencephalogram (EEG) signals to control the …
[PDF][PDF] Multimodal Explainability Using Class Activation Maps and Canonical Correlation for MI-EEG Deep Learning Classification
Brain-Computer Interfaces (BCIs) are essential in advancing medical diagnosis and
treatment by providing non-invasive tools to assess neurological states. Among these, Motor …
treatment by providing non-invasive tools to assess neurological states. Among these, Motor …
A Baseline Electroencephalography Motor Imagery Brain-Computer Interface System Using Artificial Intelligence and Deep Learning
FE Ekpar - European Journal of Electrical Engineering and …, 2024 - ejece.org
This paper presents a baseline or reference (single channel, single subject, single trial)
electroencephalography (EEG) motor imagery (MI) brain computer interface (BCI) that …
electroencephalography (EEG) motor imagery (MI) brain computer interface (BCI) that …
CATD: Unified Representation Learning for EEG-to-fMRI Cross-Modal Generation
W Yao, S Wang - arxiv preprint arxiv:2408.00777, 2024 - arxiv.org
Multi-modal neuroimaging analysis is crucial for a comprehensive understanding of brain
function and pathology, as it allows for the integration of different imaging techniques, thus …
function and pathology, as it allows for the integration of different imaging techniques, thus …