A comprehensive review of endogenous EEG-based BCIs for dynamic device control
Electroencephalogram (EEG)-based brain–computer interfaces (BCIs) provide a novel
approach for controlling external devices. BCI technologies can be important enabling …
approach for controlling external devices. BCI technologies can be important enabling …
Adaptive transfer learning-based multiscale feature fused deep convolutional neural network for EEG MI multiclassification in brain–computer interface
AM Roy - Engineering Applications of Artificial Intelligence, 2022 - Elsevier
Abstract Objective. Deep learning (DL)-based brain–computer interface (BCI) in motor
imagery (MI) has emerged as a powerful method for establishing direct communication …
imagery (MI) has emerged as a powerful method for establishing direct communication …
Temporal–spatial transformer based motor imagery classification for BCI using independent component analysis
Motor Imagery (MI) classification with electroencephalography (EEG) is a critical aspect of
Brain–Computer Interface (BCI) systems, enabling individuals with mobility limitations to …
Brain–Computer Interface (BCI) systems, enabling individuals with mobility limitations to …
Lightweight privacy-preserving feature extraction for EEG signals under edge computing
The health-related Internet of Things (IoT) plays an irreplaceable role in the collection,
analysis, and transmission of medical data. As a device of the health-related IoT, the …
analysis, and transmission of medical data. As a device of the health-related IoT, the …
Automated identification of the preclinical stage of coal workers' pneumoconiosis from digital chest radiography using three-stage cascaded deep learning model
Y Wang, F Cui, X Ding, Y Yao, G Li, G Gui… - … Signal Processing and …, 2023 - Elsevier
Objective Coal workers' pneumoconiosis (CWP) is a broad and serious occupational
disease caused by inhaling coal dust, which can cause permanent physical injury. There is …
disease caused by inhaling coal dust, which can cause permanent physical injury. There is …
Flexible coding scheme for robotic arm control driven by motor imagery decoding
Objective. Brain computer interface (BCI) technology is an innovative way of information
exchange, which can effectively convert physiological signals into control instructions of …
exchange, which can effectively convert physiological signals into control instructions of …
Subject-independent EEG classification of motor imagery based on dual-branch feature fusion
Y Dong, X Wen, F Gao, C Gao, R Cao, J Xiang, R Cao - Brain Sciences, 2023 - mdpi.com
A brain computer interface (BCI) system helps people with motor dysfunction interact with
the external environment. With the advancement of technology, BCI systems have been …
the external environment. With the advancement of technology, BCI systems have been …
An effective EEG signal-based sleep staging system using machine learning techniques
SK Satapathy, S Thakkar, A Patel… - 2022 IEEE 6th …, 2022 - ieeexplore.ieee.org
Single-channel electroencephalography (EEG) is the most popular choice of sensing
modality in sleep staging studies because it widely conforms to sleep staging guidelines …
modality in sleep staging studies because it widely conforms to sleep staging guidelines …
Classification of motor imagery EEG with ensemble RNCA model
T Thenmozhi, R Helen, S Mythili - Behavioural Brain Research, 2025 - Elsevier
Motor Imagery (MI) based brain-computer interface (BCI) systems are used for regaining the
motor functions of neurophysiologically affected persons. But the performance of MI tasks is …
motor functions of neurophysiologically affected persons. But the performance of MI tasks is …
Pre-movement pattern decoding from motor evoked potentials for reducing interaction delay
R Fu, F Xu, H Liang, Y Liu, S Wang, Y Wang… - … Signal Processing and …, 2025 - Elsevier
Brain-computer interfaces (BCIs) represent one of the most successful integrations of
neuroscience and artificial intelligence, and have been applied in intelligent healthcare …
neuroscience and artificial intelligence, and have been applied in intelligent healthcare …