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ECG Based Identification by Deep Learning

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Biometric Recognition (CCBR 2017)

Part of the book series: Lecture Notes in Computer Science ((LNIP,volume 10568))

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Abstract

Strategies were proposed for Electrocardiogram (ECG) based identification. Firstly, a selecting mechanism based on information entropy was used to obtain whole heart beat signal; Secondly, a Depth Neural Network (DNN) based on Denoising AutoEncoder (DAE) was adopted in feature selection unsupervised, by which, the robustness of the recognition system could be improved in recognizing. Finally, 98.10% and 95.67% recognition rate were obtained on self-collected calm and high pressure data sets respectively, and 94.39% rate on combined data sets of MIT arrhythmia database (mitdb) and self-collected data averagely.

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Acknowledgments

The paper was supported by Tianjin Natural Science Foundation 16JCYBJC15300 (2016.04–2019.03) and Tianjin Natural Science Foundation 15JCYBJC15800 (2015.04–2018.03).

Author information

Authors and Affiliations

  1. Tianjin Key Laboratory of Intelligent Computing and Novel Software Technology, Tianjin University of Technology, Tianjin, 300384, China

    Gang Zheng, Shengzhen Ji, Min Dai & Ying Sun

Authors
  1. Gang Zheng
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  2. Shengzhen Ji
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  3. Min Dai
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  4. Ying Sun
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Corresponding author

Correspondence to Shengzhen Ji .

Editor information

Editors and Affiliations

  1. Tsinghua University, Beijing, China

    Jie Zhou

  2. Beihang University, Beijing, China

    Yunhong Wang

  3. Institute of Automation, Chinese Academy of Sciences, Beijing, China

    Zhenan Sun

  4. Computing and Technology, Chinese Academy of Sciences, Beijing, China

    Yong Xu

  5. Shenzhen University, Shenzhen, China

    Linlin Shen

  6. Tsinghua University, Beijing, China

    Jianjiang Feng

  7. Chinese Academy of Sciences, Beijing, China

    Shiguang Shan

  8. Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences, Shenzhen, China

    Yu Qiao

  9. Graduate School at Shenzhen, Tsinghua University, Shenzhen, China

    Zhenhua Guo

  10. Shenzhen University, Shenzhen, China

    Shiqi Yu

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Zheng, G., Ji, S., Dai, M., Sun, Y. (2017). ECG Based Identification by Deep Learning. In: Zhou, J., et al. Biometric Recognition. CCBR 2017. Lecture Notes in Computer Science(), vol 10568. Springer, Cham. https://doi.org/10.1007/978-3-319-69923-3_54

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  • DOI: https://doi.org/10.1007/978-3-319-69923-3_54

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-69922-6

  • Online ISBN: 978-3-319-69923-3

  • eBook Packages: Computer ScienceComputer Science (R0)

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