Multi-modal physiological signals based squeeze-and-excitation network with domain adversarial learning for sleep staging
Sleep staging is the basis of sleep medicine for diagnosing psychiatric and
neurodegenerative diseases. However, the existing sleep staging methods ignore the fact …
neurodegenerative diseases. However, the existing sleep staging methods ignore the fact …
Automatic sleep stage classification using deep learning: signals, data representation, and neural networks
P Liu, W Qian, H Zhang, Y Zhu, Q Hong, Q Li… - Artificial Intelligence …, 2024 - Springer
In clinical practice, sleep stage classification (SSC) is a crucial step for physicians in sleep
assessment and sleep disorder diagnosis. However, traditional sleep stage classification …
assessment and sleep disorder diagnosis. However, traditional sleep stage classification …
[PDF][PDF] ATTA: adaptive test-time adaptation for multi-modal sleep stage classification
Z Jia, X Yang, C Zhou, H Deng, T Jiang… - Proceedings of the …, 2024 - ijcai.org
Sleep stage classification is crucial for sleep quality assessment and disease diagnosis.
Although some recent studies have made great strides in sleep stage classification …
Although some recent studies have made great strides in sleep stage classification …
A Multimodal Residual Spatial-temporal Fusion Model Based on Automatic Sleep Classification
Y Guo, S Tong - Journal of System Simulation, 2024 - dc-china-simulation …
Highly accurate sleep staging plays a crucial role in correctly assessing sleep conditions.
Aiming at the problem that the existing convolutional network cannot obtain the topological …
Aiming at the problem that the existing convolutional network cannot obtain the topological …
基于自动睡眠分期的多模态残差时空融合模型
郭业才， 仝爽 - 系统仿真学报, 2024 - china-simulation.com
高精度的睡眠分期对于正确评定睡眠情况起到了至关重要的作用. 针对现有的卷积网络无法获取
生理信号拓扑特征的问题, 提出了一种基于多模态残差时空融合的睡眠分期算法 …
生理信号拓扑特征的问题, 提出了一种基于多模态残差时空融合的睡眠分期算法 …