Subject-based dipole selection for decoding motor imagery tasks
Sign Up to like & getrecommendations! Published in 2020 at "Neurocomputing"
DOI: 10.1016/j.neucom.2020.03.055
Abstract: Abstract In the BCI rehabilitation system, the decoding of motor imagery tasks (MI-tasks) with dipoles in the source domain has gradually become a new research focus. For complex multiclass MI-tasks, the number of activated dipoles… read more here.
Keywords: decoding motor; motor imagery; subject based; imagery tasks ... See more keywords
Multibranch convolutional neural network with contrastive representation learning for decoding same limb motor imagery tasks
Sign Up to like & getrecommendations! Published in 2022 at "Frontiers in Human Neuroscience"
DOI: 10.3389/fnhum.2022.1032724
Abstract: Introduction Emerging deep learning approaches to decode motor imagery (MI) tasks have significantly boosted the performance of brain-computer interfaces. Although recent studies have produced satisfactory results in decoding MI tasks of different body parts, the… read more here.
Keywords: neural network; contrastive representation; representation learning; convolutional neural ... See more keywords