Results 321 to 330 of about 1,732,367 (353)

Physics-Informed Attention Temporal Convolutional Network for EEG-Based Motor Imagery Classification

IEEE Transactions on Industrial Informatics, 2023
The brain-computer interface (BCI) is a cutting-edge technology that has the potential to change the world. Electroencephalogram (EEG) motor imagery (MI) signal has been used extensively in many BCI applications to assist disabled people, control devices
Hamdi Altaheri   +2 more
semanticscholar   +1 more source

Action Observation and Motor Imagery Improve Dual Task in Parkinson's Disease: A Clinical/fMRI Study

Movement Disorders, 2021
Action observation training and motor imagery may improve motor learning in Parkinson's disease (PD).
E. Sarasso   +10 more
semanticscholar   +1 more source

Motor Imagery Observed by fNIRS

International Conference on Wearable and Implantable Body Sensor Networks, 2023
Motor imagery (MI) is expected to activate brain areas related to motor functions, yet, the brain is constantly active to some extent leading to difficulties in differentiating MI from supposedly non-motor tasks.
C. S. Choy   +7 more
semanticscholar   +1 more source

HS-CNN: a CNN with hybrid convolution scale for EEG motor imagery classification

Journal of Neural Engineering, 2020
Objective. Electroencephalography (EEG) motor imagery classification has been widely used in healthcare applications such as mobile assistive robots and post-stroke rehabilitation. Recently, EEG motor imagery classification methods based on convolutional
Guanghai Dai   +3 more
semanticscholar   +1 more source

Motor Imagery Classification via Temporal Attention Cues of Graph Embedded EEG Signals

IEEE journal of biomedical and health informatics, 2020
Motor imagery classification from EEG signals is essential for motor rehabilitation with a Brain-Computer Interface (BCI). Most current works on this issue require a subject-specific adaptation step before applied to a new user.
Dalin Zhang   +3 more
semanticscholar   +1 more source

Deep learning techniques for classification of electroencephalogram (EEG) motor imagery (MI) signals: a review

Neural computing & applications (Print), 2021
Hamdi Altaheri   +7 more
semanticscholar   +1 more source

Deep learning for motor imagery EEG-based classification: A review

Biomedical Signal Processing and Control, 2021
Ali Al-Saegh   +2 more
semanticscholar   +1 more source

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