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An Automatic Coronary Microvascular Dysfunction Classification Method Based on Hybrid ECG Features and Expert Features

  • Published:2024-09 Issue:9 Volume:28 Page:5103-5112
  • ISSN:2168-2194
  • Container-title:IEEE Journal of Biomedical and Health Informatics
  • language:
  • Short-container-title:IEEE J. Biomed. Health Inform.

Author:

Jiang Mingfeng1ORCID,Bian Feibiao1,Zhang Jucheng2ORCID,Pu Zhaoxia3,Li Huajun3ORCID,Zhang Yuxuan3,Chu Yonghua2,Fan Youqi3,Jiang Jun3ORCID

Affiliation:

1. School of Computer Science and Technology (School of Artificial Intelligence), Zhejiang Sci-Tech University, Hangzhou, China

2. Department of Clinical Engineering, School of Medicine, The Second Affiliated Hospital, Zhejiang University, Hangzhou, China

3. Department of Cardiology of The Second Affiliated Hospital, School of Medicine, Zhejiang University, Hangzhou, China

Funder

National Key Research and Development Program of China

National Natural Science Foundation of China

Key Research and Development Program of Zhejiang Province

Key Research and Development Program of Ningxia Province

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

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