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作者:

Zhang, Nan (Zhang, Nan.) (学者:张楠) | Hu, Guangqin (Hu, Guangqin.) | Zhang, Xinfeng (Zhang, Xinfeng.) | Yu, Wenming (Yu, Wenming.) | Yang, Zheng (Yang, Zheng.) | Guo, Mengru (Guo, Mengru.)

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EI Scopus

摘要:

Pulse diagnosis is an important part of the theoretical system of Traditional Chinese Medicine. In this paper we propose a new and an efficient framework to recognize pulse signal in nonlinear angle. Firstly the EEMD (ensemble empirical mode decomposition) method is used to filter out baseline drifting noise, and the result is proved to be effective. Then the MFDFA(multi-fractal detrended fluctuation analysis) method is used to get Hurst index, Renyi index and multi-fractal spectrum. Hurst index is related with the long-range correlations, Renyi index is related with the multi-fractal characteristics, and multi-fractal spectrum contains Δa and Δ characteristics. Finally, four kinds of pulse signals are recognized by PSO-SVM after extract multi-fractal spectrum feature. Experiment results demonstrate the effectiveness of our proposed method. © 2016 IEEE.

关键词:

Biomedical engineering Biomedical signal processing Diagnosis Fractals Image processing Spectrum analysis

作者机构:

  • [ 1 ] [Zhang, Nan]College of Electronic and Control Engineering, Beijing University of Technology, Beijing, China
  • [ 2 ] [Zhang, Nan]Engineering Research Center of Digital Community, Ministry of Education, Beijing; 100124, China
  • [ 3 ] [Zhang, Nan]Beijing Laboratory for Urban Mass Transit, Beijing; 100124, China
  • [ 4 ] [Hu, Guangqin]College of Electronic and Control Engineering, Beijing University of Technology, Beijing, China
  • [ 5 ] [Zhang, Xinfeng]College of Electronic and Control Engineering, Beijing University of Technology, Beijing, China
  • [ 6 ] [Zhang, Xinfeng]Engineering Research Center of Digital Community, Ministry of Education, Beijing; 100124, China
  • [ 7 ] [Zhang, Xinfeng]Beijing Laboratory for Urban Mass Transit, Beijing; 100124, China
  • [ 8 ] [Yu, Wenming]Beijing University of Chinese Medicine, Beijing, China
  • [ 9 ] [Yang, Zheng]Beijing University of Chinese Medicine, Beijing, China
  • [ 10 ] [Guo, Mengru]Hebei University of Science and Technology, Shijiazhuang, China

通讯作者信息:

  • [hu, guangqin]college of electronic and control engineering, beijing university of technology, beijing, china

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年份: 2016

页码: 1008-1012

语种: 英文

被引次数:

WoS核心集被引频次: 0

SCOPUS被引频次: 2

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