ADFCNN: attention-based dual-scale fusion convolutional neural network for motor imagery brain-computer interface
Convolutional neural networks (CNNs) have been successfully applied to motor imagery
(MI)-based brain–computer interface (BCI). Nevertheless, single-scale CNN fail to extract …
(MI)-based brain–computer interface (BCI). Nevertheless, single-scale CNN fail to extract …
Microstructural Changes in the Cerebral White Matter After 12 Months of CPAP Treatment for Moderate to Severe Obstructive Sleep Apnoea: A TBSS Study
X Liu, Z Wei, L Ting, X Liu, Y Shu, H Ling… - Nature and Science …, 2024 - Taylor & Francis
Introduction Continuous positive airway pressure (CPAP) therapy improves clinical
symptoms in patients with obstructive sleep apnea (OSA); however, the mechanism of this …
symptoms in patients with obstructive sleep apnea (OSA); however, the mechanism of this …
The Impact of Transient and Stable Patterns of Functional Connectivity in Emotion Recognition
Y Huang, X Liu, Y Li, CI Ieong, Y Hu… - 2024 IEEE International …, 2024 - ieeexplore.ieee.org
The achievement of emotional functions relies on the interactions of various functional
systems of the human brain. Numerous studies tried to explore the mechanism of the …
systems of the human brain. Numerous studies tried to explore the mechanism of the …