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Bioengineering (Basel, Switzerland)|July 28, 2026
A Lightweight Temporal-Spatial Fusion Network for Neonatal Sleep StagingLigang Zhou, Laishuan Wang, Yan Xu, et al.
IEEE Open Journal of Engineering in Medicine and Biology|July 14, 2025
MVBNSleepNet: A Multi-View Brain Network-Based Convolutional Neural Network for Neonatal Sleep StagingLigang Zhou, Minghui Liu, Xia Hu, et al.
International Journal of Neural Systems|February 19, 2024
A Sequential End-to-End Neonatal Sleep Staging Model with Squeeze and Excitation Blocks and Sequential Multi-Scale Convolution Neural NetworksHangyu Zhu, Yan Xu, Yonglin Wu, et al.
IEEE Transactions on Bio-Medical Engineering|March 11, 2025
A Novel NICU Sleep State Stratification: Multiperspective Features, Adaptive Feature Selection and Ensemble ModelMuhammad Irfan, Abdulhamit Subasi, Zhenning Tang, et al.
IEEE Transactions on Neural Systems and Rehabilitation Engineering : a Publication of the IEEE Engineering in Medicine and Biology Society|April 13, 2023
MS-HNN: Multi-Scale Hierarchical Neural Network With Squeeze and Excitation Block for Neonatal Sleep Staging Using a Single-Channel EEGHangyu Zhu, Laishuan Wang, Ning Shen, et al.
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|December 3, 2025
Enhancing Neonatal Sleep Analysis with Multi-resolution CNN and Mamba IntegrationLigang Zhou, Hao Chen, Xia Hu, et al.
Frontiers in Computational Neuroscience|February 17, 2025
EEG electrode setup optimization using feature extraction techniques for neonatal sleep state classificationHafza Ayesha Siddiqa, Muhammad Farrukh Qureshi, Arsalan Khurshid, et al.
IEEE Journal of Biomedical and Health Informatics|March 3, 2025
Multidomain Selective Feature Fusion and Stacking Based Ensemble Framework for EEG-Based Neonatal Sleep StratificationMuhammad Irfan, Laishuan Wang, Husnain Shahid, et al.
IEEE Transactions on Neural Systems and Rehabilitation Engineering : a Publication of the IEEE Engineering in Medicine and Biology Society|July 13, 2023
Automatic and Quantitative Electroencephalographic Characterization of Drug-Resistant Epilepsy in Neonatal KCNQ2 Epileptic EncephalopathyZheng Zeng, Yan Xu, Chen Chen, et al.
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|December 3, 2025
Rethinking Sleep Staging: Tapping the Potential of Novel Label Encoding Beyond Network DesignsZhenning Tang, Xiaoyu Chen, Ligang Zhou, et al.
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