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EAI International Conference on Body Area Networks

BODYNETS 2018: 13th EAI International Conference on Body Area Networks pp 353–364Cite as

A Cost-Effective Embedded Platform for Scalable Multichannel Biopotential Acquisition

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Part of the book series: EAI/Springer Innovations in Communication and Computing ((EAISICC))

Abstract

The design of a compact and cost-effective system for acquisition and processing of high-count biopotential sensor arrays is an open challenge, which could, if addressed, significantly push forward the State-of-the-Art (SoA) wearable applications. Nowadays, the form factor of commercial devices for large-array acquisition does not match size constraints of a wearable setup and most systems rely on high-cost chips, typically with a cost per channel higher than 10 USD. In this work, we present a scalable multichannel platform for biopotential acquisition, which breaks the barrier of 1 USD per channel, and can acquire 32 channels with an input-referred noise of 0.75 μVRMS in the [0.5–100] Hz band and 1.15 μVRMS in the [20–250] Hz band and with 24-bit resolution, which is still suitable for most biomedical and rehabilitation applications.

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Acknowledgements

This work was supported by the European H2020 FET project OPRECOMP (g.a. 732631).

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Authors and Affiliations

  1. Energy Efficient Embedded Systems Lab (EEES), DEI, University of Bologna, Bologna, Italy

    Simone Benatti, Marco Guermandi & Luca Benini

  2. Integrated System Laboratory (IIS), ETH Zurich, Zürich, Switzerland

    Luca Benini

Authors
  1. Simone Benatti
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  2. Marco Guermandi
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  3. Luca Benini
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Corresponding author

Correspondence to Simone Benatti .

Editor information

Editors and Affiliations

  1. Yokohama National University, Yokohama, Kanagawa, Japan

    Chika Sugimoto

  2. KTH Royal Institute of Technology, Stockholm, Stockholms Län, Sweden

    Hamed Farhadi

  3. Centre for Wireless Communications, University of Oulu, Oulu, Finland

    Matti Hämäläinen

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Benatti, S., Guermandi, M., Benini, L. (2020). A Cost-Effective Embedded Platform for Scalable Multichannel Biopotential Acquisition. In: Sugimoto, C., Farhadi, H., Hämäläinen, M. (eds) 13th EAI International Conference on Body Area Networks . BODYNETS 2018. EAI/Springer Innovations in Communication and Computing. Springer, Cham. https://doi.org/10.1007/978-3-030-29897-5_30

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  • DOI: https://doi.org/10.1007/978-3-030-29897-5_30

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-29896-8

  • Online ISBN: 978-3-030-29897-5

  • eBook Packages: EngineeringEngineering (R0)

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