Multisensor integrated platform based on MEMS charge variation sensing technology                                     for biopotential acquisition

Fernanda Irrera; Alessandro Gumiero; Alessandro Zampogna; Federico Boscari; Angelo Avogaro; Michele Gazzanti pugliese di cotrone; Martina Patera; Luigi Della Torre; Nicola Picozzi; Antonio Suppa

doi:10.20944/preprints202401.2242.v1

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preprints.org > engineering > bioengineering > doi: 10.20944/preprints202401.2242.v1

Preprint Article Version 1 Preserved in Portico This version is not peer-reviewed

Multisensor integrated platform based on MEMS charge variation sensing technology for biopotential acquisition

^* ,

Michele Gazzanti pugliese di cotrone

Version 1 : Received: 31 January 2024 / Approved: 31 January 2024 / Online: 31 January 2024 (14:58:50 CET)
Version 2 : Received: 5 February 2024 / Approved: 5 February 2024 / Online: 5 February 2024 (15:27:10 CET)

A peer-reviewed article of this Preprint also exists.

Irrera, F.; Gumiero, A.; Zampogna, A.; Boscari, F.; Avogaro, A.; Gazzanti Pugliese di Cotrone, M.A.; Patera, M.; Della Torre, L.; Picozzi, N.; Suppa, A. Multisensor Integrated Platform Based on MEMS Charge Variation Sensing Technology for Biopotential Acquisition. Sensors 2024, 24, 1554. Irrera, F.; Gumiero, A.; Zampogna, A.; Boscari, F.; Avogaro, A.; Gazzanti Pugliese di Cotrone, M.A.; Patera, M.; Della Torre, L.; Picozzi, N.; Suppa, A. Multisensor Integrated Platform Based on MEMS Charge Variation Sensing Technology for Biopotential Acquisition. Sensors 2024, 24, 1554.

Abstract

We propose a new methodology for long-time biopotential recording based on MEMS multisensor integrated platform featuring a commercial electrostatic charge transfer sensor. That family of sensors was originally intended for presence tracking in automotive, so the existing setup has been engineered for the acquisition of electrocardiogram, electroencephalogram, electrooculogram and electromyography, designing a dedicated front-end and writing a proper firmware for the specific application. Systematic tests on controls and nocturnal acquisitions from patients in domestic environment will be discussed in detail. The excellent results candidate this technology to provide a low power, unexplored solution to biopotentials acquisition. The technology breakthrough is in that it enables adding this type of functionality to existing MEMS boards at near-zero additional power consumption. For these reasons, they open to additional possibilities for wearable sensing and strengthen the role of MEMS technology in medical wearable applications for long time synchronous acquisition of a wide range of signals.

Keywords

Wearable sensors, long-time biopotential recording, MEMS technology, charge variation sensors, low power consumption.

Subject

Engineering, Bioengineering

Copyright: This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

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