Healey, T.J., Billinge, D.E.R., Alix, D.J.J.P. et al. (2 more authors) (2021) Circuit architecture for electrical impedance spectroscopy instrumentation to address electrode impedance mismatch in clinical devices. IEEE Sensors Journal, 21 (20). pp. 22258-22269. ISSN 1530-437X
Abstract
A mismatch in electrode impedance is a common and significant source of artefact in electrical impedance spectroscopy systems. We have analysed these artefacts, identifying key parameters in the optimisation of both current and voltage excited electrical impedance spectroscopy systems. We have used this information to develop a new clinical system for investigating muscle impedance anisotropy in human limbs, with the aim of developing biomarkers for various muscle pathologies. This new instrumentation integrates buffering at the front-end, which isolates the electrodes from both multiplexing and wiring parasitics. Modelling of the front-end instrumentation demonstrates an input impedance of over 1 GΩ in parallel with 0.4 pF. The clinical system currently has 16 electrodes, with the capability for more, and operates over a physiologically relevant frequency range of 76 Hz to 625 kHz. Results presented in this paper show that the new system operates with reduced levels of artefact, even in the presence of a significant mismatch in electrode impedances.
Metadata
Item Type: | Article |
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Authors/Creators: |
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Copyright, Publisher and Additional Information: | © 2021 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other users, including reprinting/ republishing this material for advertising or promotional purposes, creating new collective works for resale or redistribution to servers or lists, or reuse of any copyrighted components of this work in other works. Reproduced in accordance with the publisher's self-archiving policy. |
Keywords: | electrical impedance tomography; electrical impedance spectroscopy; myography; electrode impedance; instrumentation; matching; artefact reduction; tutorial |
Dates: |
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Institution: | The University of Sheffield |
Academic Units: | The University of Sheffield > Faculty of Medicine, Dentistry and Health (Sheffield) > Department of Neuroscience (Sheffield) |
Funding Information: | Funder Grant number MEDICAL RESEARCH COUNCIL MC_PC_16058 |
Depositing User: | Symplectic Sheffield |
Date Deposited: | 09 Sep 2021 10:04 |
Last Modified: | 01 Sep 2022 00:13 |
Status: | Published |
Publisher: | Institute of Electrical and Electronics Engineers (IEEE) |
Refereed: | Yes |
Identification Number: | 10.1109/jsen.2021.3107158 |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:178017 |