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An IoT-Cloud Enabled Real Time and Energy Efficient ECG Reader Architecture

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XXVII Brazilian Congress on Biomedical Engineering (CBEB 2020)

Part of the book series: IFMBE Proceedings ((IFMBE,volume 83))

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Abstract

In recent years, the Internet of Things (IoT) has emerged as a major computing paradigm leading the development of new architectures for collecting, processing and store data. Among several concepts associated with IoT, we highlight the wearable computing, which allows users to interact with devices attached to the body. In this context, a large amount of human body signals can be acquired by using sensors connected to an embedded system, such as the Electrocardiogram (ECG) signal, which is widely used in medical diagnoses of heart diseases. Moreover, there is a huge interest on the maintaining of ECG samples to accomplish disease recognition by using different techniques that require a large database. Here we propose an architecture for ECG data acquisition, storage and visualization with a low cost and energy efficient embedded device. The proposed ECG reader with IoT architecture, which is a portable device with at least 40 h of autonomy, is able to collect data with sampling frequency from 125 Hz to 1 kHz and store up to 60 s of data samples in cloud server.

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Acknowledgements

This study was financed in part by the Coordenação de Aperfeiçoamento de Pessoal de Nível Superior-Brasil (CAPES) - Finance Code 001. Danielo G. Gomes greatly appreciates the financial support of CNPq (Conselho Nacional de Desenvolvimento Científico e Tecnológico-Brasil) grants 440092/2020-5, 310317/2019-3. João P. V. Madeiro acknowledges the support of the Brazilian Research Council, CNPq (Grant n. 426002/2016-4).

Conflict of Interest The authors declare that they have no conflict of interest.

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Authors and Affiliations

  1. Universidade Federal do Ceará (UFC), Ceará, Brazil

    Marciel B. Pereira, J. P. V. Madeiro & D. G. Gomes

  2. Universidade da Integração Internacional da Lusofonia Afro-brasileira (UNILAB), Ceará, Brazil

    Adriel O. Freitas

Authors
  1. Marciel B. Pereira
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  2. J. P. V. Madeiro
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  3. Adriel O. Freitas
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  4. D. G. Gomes
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Corresponding author

Correspondence to Marciel B. Pereira .

Editor information

Editors and Affiliations

  1. Department of Electrical Engineering, Universidade Federal do Espírito Santo, Vitória, Brazil

    Teodiano Freire Bastos-Filho

  2. Department of Electrical Engineering, Universidade Federal do Espírito Santo, Vitória, Brazil

    Eliete Maria de Oliveira Caldeira

  3. Department of Electrical Engineering, Universidade Federal do Espírito Santo, Vitória, Brazil

    Anselmo Frizera-Neto

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Pereira, M.B., Madeiro, J.P.V., Freitas, A.O., Gomes, D.G. (2022). An IoT-Cloud Enabled Real Time and Energy Efficient ECG Reader Architecture. In: Bastos-Filho, T.F., de Oliveira Caldeira, E.M., Frizera-Neto, A. (eds) XXVII Brazilian Congress on Biomedical Engineering. CBEB 2020. IFMBE Proceedings, vol 83. Springer, Cham. https://doi.org/10.1007/978-3-030-70601-2_147

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  • DOI: https://doi.org/10.1007/978-3-030-70601-2_147

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-70600-5

  • Online ISBN: 978-3-030-70601-2

  • eBook Packages: EngineeringEngineering (R0)

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