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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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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