Department of Automation, University of Science and Technology of China, Hefei, China
Research Center for Information Technology of Sports and Health, Institute of Intelligent Machines, Chinese Academy of Sciences, Hefei, China
Research Center for Information Technology of Sports and Health, Institute of Intelligent Machines, Chinese Academy of Sciences, Hefei, China
Research Center for Information Technology of Sports and Health, Institute of Intelligent Machines, Chinese Academy of Sciences, Hefei, China
Research Center for Information Technology of Sports and Health, Institute of Intelligent Machines, Chinese Academy of Sciences, Hefei, China
Research Center for Information Technology of Sports and Health, Institute of Intelligent Machines, Chinese Academy of Sciences, Hefei, China
Department of Automation, University of Science and Technology of China, Hefei, China
Research Center for Information Technology of Sports and Health, Institute of Intelligent Machines, Chinese Academy of Sciences, Hefei, China
Copyright © 2015 Fusong Hu, Chengtao Li, Yongliang Zhang, Dan Jin, Zuchang Ma, Yining Sun, Jingzhi Wang et al. This is
an open access article distributed under the Creative Commons Attribution
License, which permits unrestricted use, distribution, and reproduction in any
medium, provided the original work is properly cited.
How to Cite this Article
Hu, F. , Li, C. , Zhang, Y. , Jin, D. , Ma, Z. , Sun, Y. and Wang, J. (2015) A Morphological Classification Method of ECG ST-Segment Based on Curvature Scale Space.
Journal of Biosciences and Medicines,
3, 38-43. doi:
10.4236/jbm.2015.39006.