Work

BiTS-SleepNet: An Attention-Based Two Stage Temporal-Spectral Fusion Model for Sleep Staging With Single-Channel EEG

Year: 2024

Type: article

Source: IEEE Journal of Biomedical and Health Informatics

DOI: 10.1109/jbhi.2024.3523908

Authors: Zhaoyang Cong, Minghui Zhao, Hongxiang Gao, Meng Lou, Guowei Zheng, Ziyang Wang, Xingyao Wang, Chang Yan, Li Ling, Jianqing Li, Chengyu Liu

Institutions: State Key Laboratory of Digital Medical Engineering, Southeast University, University of Hong Kong, Harbin Institute of Technology, University of Science and Technology of China, Agency for Science, Technology and Research, Institute of High Performance Computing

Language: English

Topic: EEG and Brain-Computer Interfaces

Subfield: Cognitive Neuroscience

Field: Neuroscience

Domain: Life Sciences

SDG: Good health and well-being

Open Access status: closed

Funders: National Natural Science Foundation of China, Natural Science Foundation of Jiangsu Province, National Key Research and Development Program of China

Awards: G2932593197, G4631704124, G4700083447, G5615915594, G6458924456, G9000213155

OpenAlex ID: W4405907295

FWCI: 1.606

Cites: 44

Cited by: 7

Related to: 10