Work

Uncertainty-Inspired Multi-Task Learning in Arbitrary Scenarios of ECG Monitoring

Year: 2025

Type: article

Source: IEEE Journal of Biomedical and Health Informatics

DOI: 10.1109/jbhi.2025.3545927

Authors: Xingyao Wang, Hongxiang Gao, Caiyun Ma, Tingting Zhu, Feng Yang, Chengyu Liu, Huazhu Fu

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

Language: English

Topic: ECG Monitoring and Analysis

Subfield: Cardiology and Cardiovascular Medicine

Field: Medicine

Domain: Health Sciences

SDG: Good health and well-being

Open Access status: closed

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

Awards: G1961749293, G4700083447, G5615915594, G8246506038, G9000213155

OpenAlex ID: W4407948712

FWCI: 1.265

Cites: 55

Cited by: 2

Related to: 10