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Proceedings of SAI Intelligent Systems Conference

IntelliSys 2018: Intelligent Systems and Applications pp 474–486Cite as

Edge Computing for Low Delay to Cache and Transfer Electronic Medical Records

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Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 869))

Abstract

A new method is proposed to decrease the transmission delay of visual and non-visual medical records by using edge computing and Dynamic Vision Sensing technologies. The simulation results show that the proposed scheme can decrease the transmission delay by 89.15% to 93.23%. The maximum number of patients who can be served by edge devices is analysed.

Partially sponsored by EPSRC (Project Number: EP/P022723/1).

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Author information

Authors and Affiliations

  1. Informatics, King’s College London, London, UK

    Ziyang Chen & Mohammad Shikh-Bahaei

  2. School of Medicine and Dentistry, Barts and the London, London, UK

    Tamanna Shikh-Bahaei

  3. King’s Business School, King’s College London, London, UK

    Paul Luff

Authors
  1. Ziyang Chen
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  2. Tamanna Shikh-Bahaei
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  3. Paul Luff
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  4. Mohammad Shikh-Bahaei
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Corresponding author

Correspondence to Ziyang Chen .

Editor information

Editors and Affiliations

  1. Faculty of Science and Engineering, Saga University, Saga, Japan

    Kohei Arai

  2. The Science and Information (SAI) Organization, Bradford, UK

    Supriya Kapoor

  3. The Science and Information (SAI) Organization, Bradford, UK

    Rahul Bhatia

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Cite this paper

Chen, Z., Shikh-Bahaei, T., Luff, P., Shikh-Bahaei, M. (2019). Edge Computing for Low Delay to Cache and Transfer Electronic Medical Records. In: Arai, K., Kapoor, S., Bhatia, R. (eds) Intelligent Systems and Applications. IntelliSys 2018. Advances in Intelligent Systems and Computing, vol 869. Springer, Cham. https://doi.org/10.1007/978-3-030-01057-7_38

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