Litcius/Paper detail

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

2020Advanced Materials Technologies59 citationsDOI

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.

Topics & Concepts

ElectrodeMaterials scienceBiomedical engineeringBiosignalFabricationElectromyographyElectrical impedanceBicepsComputer scienceElectrical engineeringMedicineSurgeryEngineeringComputer visionChemistryPathologyPsychiatryFilter (signal processing)Physical chemistryAlternative medicineAdvanced Sensor and Energy Harvesting MaterialsMuscle activation and electromyography studiesNeuroscience and Neural Engineering