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Digital Twins for Remote ECG Monitoring

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Applications in Electronics Pervading Industry, Environment and Society (ApplePies 2023)

Part of the book series: Lecture Notes in Electrical Engineering ((LNEE,volume 1110))

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Abstract

Digital twins provide virtual replicas of medical systems, reshaping the E-Health industry towards smart, intelligent, and proactive services. With most existing biosensor solutions, patient data is transmitted over Bluetooth to a gateway that in turn connects via Ethernet to a file server (or cloud) for storage and analysis. In this work, a performance twin of a biosensor is developed, generating self-similar ECG data at increased rates compared to the actual device. In addition, we design a biosensor digital twin representation in the open-source Eclipse Ditto twin management system. We evaluate the scalability of the traditional file server and the digital twin approach. Our results indicate that the file server scales slightly better than the digital twin since Ditto operates in soft real-time only for rates below 4096 pulses/s. The digital twin's energy costs from the client/server viewpoints are also much higher.

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Acknowledgments

The first and third authors acknowledge partial indirect support from the EU Horizon 2020 project FLUIDOS (Contract No. 101070473).

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Authors and Affiliations

  1. Department ECE, Hellenic Mediterranean University, 71410, Heraklion, Greece

    Stelios Ninidakis, Miltos D. Grammatikakis & George Kornaros

Authors
  1. Stelios Ninidakis
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  2. Miltos D. Grammatikakis
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  3. George Kornaros
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Corresponding author

Correspondence to Miltos D. Grammatikakis .

Editor information

Editors and Affiliations

  1. Department of Electrical, Electronic, Telecommunication Engineering and Naval Architecture (DITEN), University of Genoa, Genoa, Italy

    Francesco Bellotti

  2. Department of Electrical and Computer Engineering, Hellenic Mediterranean University, Heraklion, Greece

    Miltos D. Grammatikakis

  3. Lab-STICC, CNRS UMR 6285, École nationale supérieure de techniques avancées Bretagne, Brest, France

    Ali Mansour

  4. Department of Electronics and Telecommunications, Politecnico di Torino, Turin, Italy

    Massimo Ruo Roch

  5. Department of Computer Science, HTWG Konstanz—University of Applied Sciences, Konstanz, Germany

    Ralf Seepold

  6. Department of Computer Engineering and Mathematics, Universitat Rovira i Virgili, Tarragona, Catalonia, Spain

    Agusti Solanas

  7. Department of Electrical, Electronic, Telecommunication Engineering and Naval Architecture (DITEN), University of Genoa, Genoa, Italy

    Riccardo Berta

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Ninidakis, S., Grammatikakis, M.D., Kornaros, G. (2024). Digital Twins for Remote ECG Monitoring. In: Bellotti, F., et al. Applications in Electronics Pervading Industry, Environment and Society. ApplePies 2023. Lecture Notes in Electrical Engineering, vol 1110. Springer, Cham. https://doi.org/10.1007/978-3-031-48121-5_37

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  • DOI: https://doi.org/10.1007/978-3-031-48121-5_37

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-031-48120-8

  • Online ISBN: 978-3-031-48121-5

  • eBook Packages: EngineeringEngineering (R0)

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