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Assessing Death Risk of Patients with Cardiovascular Disease from Long-Term Electrocardiogram Streams Summarization

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Advances in Knowledge Discovery and Data Mining (PAKDD 2017)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 10234))

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Abstract

Cardiovascular disease (CVD) is the leading cause of death around the world. Researches on assessing patients death risk from Electrocardiographic (ECG) data has attracted increasing attention recently. In this paper, we summarize long-term overwhelming ECG data using morphological concern of overall evolution. And then assessing patients death risk from high value density ECG summarization instead of raw data. Our method is totally unsupervised without the help of expert knowledge. Moreover, it can assist in clinical practice without any additional burden like buy new devices or add more caregivers. Comprehensive results show effectiveness of our method.

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Acknowledgement

This work was supported by Natural Science Foundation of China (No. 61170003).

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Authors and Affiliations

  1. Key Laboratory of Machine Perception (Peking University), Ministry of Education, Beijing, China

    Shenda Hong, Meng Wu, Jinbo Zhang & Hongyan Li

  2. School of Electronics Engineering and Computer Science, Peking University, Beijing, China

    Shenda Hong, Meng Wu, Jinbo Zhang & Hongyan Li

Authors
  1. Shenda Hong
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  2. Meng Wu
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  3. Jinbo Zhang
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  4. Hongyan Li
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Corresponding author

Correspondence to Hongyan Li .

Editor information

Editors and Affiliations

  1. Kangwon National University, Chuncheon, Korea (Republic of)

    Jinho Kim

  2. Seoul National University, Seoul, Korea (Republic of)

    Kyuseok Shim

  3. University of Technology Sydney, Sydney, New South Wales, Australia

    Longbing Cao

  4. KAIST, Daejeon, Korea (Republic of)

    Jae-Gil Lee

  5. University of New South Wales, Sydney, New South Wales, Australia

    Xuemin Lin

  6. Kangwon National University, Chuncheon, Korea (Republic of)

    Yang-Sae Moon

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Hong, S., Wu, M., Zhang, J., Li, H. (2017). Assessing Death Risk of Patients with Cardiovascular Disease from Long-Term Electrocardiogram Streams Summarization. In: Kim, J., Shim, K., Cao, L., Lee, JG., Lin, X., Moon, YS. (eds) Advances in Knowledge Discovery and Data Mining. PAKDD 2017. Lecture Notes in Computer Science(), vol 10234. Springer, Cham. https://doi.org/10.1007/978-3-319-57454-7_52

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  • DOI: https://doi.org/10.1007/978-3-319-57454-7_52

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-57453-0

  • Online ISBN: 978-3-319-57454-7

  • eBook Packages: Computer ScienceComputer Science (R0)

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