Coronary artery disease severity and location detection using deep-mining-based magnetocardiography pattern features.

Journal: Computer methods and programs in biomedicine
PMID:

Abstract

BACKGROUND AND OBJECTIVE: The objective of this study was to develop an automated, accurate method of assessing coronary artery disease (CAD), including its severity and location, using deep-mining-based magnetocardiography (MCG) pattern features.

Authors

  • Xiaole Han
    National Institute of Extremely-Weak Magnetic Field Infrastructure, Hangzhou, People's Republic of China; Key Laboratory of Ultra-Weak Magnetic Field Measurement Technology, Ministry of Education, School of Instrumentation and Optoelectronic Engineering, Beihang University, Beijing 100191, People's Republic of China; Zhejiang Provincial Key Laboratory of Ultra-Weak Magnetic-Field Space and Applied Technology, Hangzhou Innovation Institute, Beihang University, Hangzhou 310051, People's Republic of China.
  • Jiaojiao Pang
    Shandong Key Laboratory for Magnetic Field-free Medicine & Functional Imaging, Institute of Magnetic Field-free Medicine & Functional Imaging, Shandong University, Jinan 250014, People's Republic of China; Department of Emergency Medicine, Qilu Hospital of Shandong University, Shandong Provincial Clinical Research Center for Emergency and Critical Care Medicine, Jinan 250014, People's Republic of China; National Innovation Platform for Industry-Education Integration in Medicine-Engineering Interdisciplinary, Shandong University, Jinan 250014, People's Republic of China.
  • Dong Xu
    Department of Electrical Engineering and Computer Science, University of Missouri, Columbia, MO, USA.
  • Fei Xie
    Sun Yat-sen University Cancer Center, State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine Guangdong Key Laboratory of Nasopharyngeal Carcinoma Diagnosis and Therapy, Guangzhou 510060, China.
  • Yu Li
    Department of Public Health, Shihezi University School of Medicine, 832000, China.
  • Min Xiang
    National Institute of Extremely-Weak Magnetic Field Infrastructure, Hangzhou, People's Republic of China; Key Laboratory of Ultra-Weak Magnetic Field Measurement Technology, Ministry of Education, School of Instrumentation and Optoelectronic Engineering, Beihang University, Beijing 100191, People's Republic of China; Zhejiang Provincial Key Laboratory of Ultra-Weak Magnetic-Field Space and Applied Technology, Hangzhou Innovation Institute, Beihang University, Hangzhou 310051, People's Republic of China; Hefei National Laboratory, People's Republic of China; State Key Laboratory of Traditional Chinese Medicine Syndrome / National Institute of Extremely-weak Magnetic Field Infrastructure, Hangzhou, 310028, People's Republic of China. Electronic address: xiang_min@buaa.edu.cn.
  • Jinji Sun
    National Institute of Extremely-Weak Magnetic Field Infrastructure, Hangzhou, People's Republic of China; Key Laboratory of Ultra-Weak Magnetic Field Measurement Technology, Ministry of Education, School of Instrumentation and Optoelectronic Engineering, Beihang University, Beijing 100191, People's Republic of China; Zhejiang Provincial Key Laboratory of Ultra-Weak Magnetic-Field Space and Applied Technology, Hangzhou Innovation Institute, Beihang University, Hangzhou 310051, People's Republic of China; Hefei National Laboratory, People's Republic of China; State Key Laboratory of Traditional Chinese Medicine Syndrome / National Institute of Extremely-weak Magnetic Field Infrastructure, Hangzhou, 310028, People's Republic of China.
  • Yuguo Chen
    Department of Emergency, Qilu Hospital, Shandong University Jinan 250012, China.
  • Xiaolin Ning
    School of Information Engineering, Shanghai Maritime University, Shanghai 200135, China.