Work

CCAM: Cross-Channel Association Mining for Ubiquitous Sleep Staging

Year: 2024

Type: article

Source: IEEE Internet of Things Journal

DOI: 10.1109/jiot.2024.3477732

Authors: Shuo Ma, Yingwei Zhang, Yunqi Liu, Yiqiang Chen, Weiwen Yang, Jianrong Yang, Mingming Zhao, Ziyu Jia

Institutions: Institute of Computing Technology, University of Rochester, The People's Hospital of Guangxi Zhuang Autonomous Region, Chinese Academy of Sciences, Institute of Automation

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: New York University, Boston University, University of Minnesota, University of Arizona, Case Western Reserve University, National Natural Science Foundation of China, Beijing Municipal Science and Technology Commission, National Heart, Lung, and Blood Institute

Awards: G1183342534, G2799208497, G2862297731, G3553016569, G4750466064, G6443664327, G6956636849, G7474258831, G91634571

OpenAlex ID: W4403510300

FWCI: 1.147

Cites: 57

Cited by: 5

Related to: 10