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A Method to Detecting Ventricular Tachycardia and Ventricular Fibrillation Based on Symbol Entropy and Wavelet Analysis

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Intelligent Computing Theories and Application (ICIC 2017)

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 10361))

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Abstract

Detection of ventricular tachycardia (VT) and ventricular fibrillation (VF) is crucial for the success of saving the patient’s life. In this paper, we proposed a novel method for detection of VF and VT, based on the Wavelet Analysis and Symbol Entropy. The classification accuracy of symbol entropy was 80.03% with SVM, and the classification accuracy of the symbol entropy with wavelet analysis arithmetic was 99.5% with SVM. Fusion algorithm is greater than symbol entropy.

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Acknowledgment

This work was supported by the National Natural Science Foundation of China (Grant No. 61671220, 61640218, 61201428), the Shandong Distinguished Middle-aged and Young Scientist Encourage and Reward Foundation, China (Grant No. ZR2016FB14), the Project of Shandong Province Higher Educational Science and Technology Program, China (Grant No. J16LN07), the Shandong Province Key Research and Development Program, China (Grant No. 2016GGX101022).

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Authors and Affiliations

  1. The School of Information Science and Engineering, University of Jinan, Jinan, 250022, China

    Yingda Wei, Qingfang Meng, Haihong Liu, Mingmin Liu & Hanyong Zhang

  2. Shandong Provincial Key Laboratory of Network Based Intelligent Computing, Jinan, 250022, China

    Yingda Wei, Qingfang Meng, Haihong Liu, Mingmin Liu & Hanyong Zhang

Authors
  1. Yingda Wei
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  2. Qingfang Meng
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  3. Haihong Liu
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  4. Mingmin Liu
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  5. Hanyong Zhang
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Corresponding author

Correspondence to Qingfang Meng .

Editor information

Editors and Affiliations

  1. Tongji University, Shanghai, China

    De-Shuang Huang

  2. Politecnico di Bari, Bari, Italy

    Vitoantonio Bevilacqua

  3. University of Wollongong, North Wollongong, New South Wales, Australia

    Prashan Premaratne

  4. Indian Institute of Technology, Kanpur, India

    Phalguni Gupta

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Wei, Y., Meng, Q., Liu, H., Liu, M., Zhang, H. (2017). A Method to Detecting Ventricular Tachycardia and Ventricular Fibrillation Based on Symbol Entropy and Wavelet Analysis. In: Huang, DS., Bevilacqua, V., Premaratne, P., Gupta, P. (eds) Intelligent Computing Theories and Application. ICIC 2017. Lecture Notes in Computer Science(), vol 10361. Springer, Cham. https://doi.org/10.1007/978-3-319-63309-1_15

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  • DOI: https://doi.org/10.1007/978-3-319-63309-1_15

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-63308-4

  • Online ISBN: 978-3-319-63309-1

  • eBook Packages: Computer ScienceComputer Science (R0)

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