journal article·2020-10

Development and Evaluation of 3D‐Printed Dry Microneedle Electrodes for Surface Electromyography

Kevin J. Krieger, Jérémy Liegey, Ellen M. Cahill, Nicky Bertollo, Madeleine M. Lowery, Eoin D. O'Cearbhaill

Advanced Materials Technologies· Volume 5· Issue 10
Publisher page

Abstract

Abstract Surface electromyography (sEMG) allows for direct measurement of electrical muscle activity with use in fundamental research and many applications in health and sport. However, conventional surface electrode technology can suffer from poor signal quality, requires careful skin preparation, and is commonly not suited for long‐term recording. These drawbacks have challenged translation of sEMG to clinical applications. In this paper, dry 3D‐printed microneedle electrodes (MNEs) are proposed to overcome some of the limitations of conventional electrodes. Employing a direct‐metal‐laser‐sintering (DMLS) 3D printing process, a two‐step fabrication method is developed to produce sharp medical‐grade stainless steel MNEs. The developed MNEs are compared to needle‐free versions and to standard wet Ag/AgCl electrodes. Functional testing is conducted to analyze the electrode–skin impedance in healthy human volunteers and sEMG data are recorded from the biceps brachii muscle. Results show that microneedle electrodes display a greatly reduced (≈63%) electrode–skin contact impedance with respect to needle‐free electrodes and record sEMG at a signal‐to‐noise ratio comparable to clinical‐grade wet Ag/AgCl electrodes over a period of up to 6 h. Overall, a fabrication method and electrode type are presented which yield high‐quality sEMG signals when evaluated in humans, highlighting the potential of MNEs as a platform for biosignal recording.
Source: crossref · Quality: baseline

Research context

OpenAlex topics: Advanced Sensor and Energy Harvesting Materials · Muscle activation and electromyography studies · Neuroscience and Neural Engineering

SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.

Affiliations

UCD Centre for Biomedical Engineering Engineering and Materials Science Centre University College Dublin Belfield Dublin 4 Ireland

Funding

Irish Research Council · National University of Ireland

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