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Characterization of textile electrodes and conductors using standardized measurement setups

Beckmann, L, Neuhaus, C, Medrano, G, Jungbecker, N, Walter, M, Gries, T, Leonhardt, S·2010·Physiological Measurement

Abstract

Textile electrodes and conductors are being developed and used in different monitoring scenarios, such as ECG or bioimpedance spectroscopy measurements. Compared to standard materials, conductive textile materials offer improved wearing comfort and enable long-term measurements. Unfortunately, the development and investigation of such materials often suffers from the non-reproducibility of the test scenarios. For example, the materials are generally tested on human skin which is difficult since the properties of human skin differ for each person and can change within hours. This study presents two test setups which offer reproducible measurement procedures for the systematic analysis of textile electrodes and conductors. The electrode test setup was designed with a special skin dummy which allows investigation of not only the electrical properties of textile electrodes but also the contact behavior between electrode and skin. Using both test setups, eight textile electrodes and five textile conductors were analyzed and compared.

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Metadata

Authors
Beckmann, L., Neuhaus, C., Medrano, G., Jungbecker, N., Walter, M., Gries, T., & Leonhardt, S.
Venue
Physiological Measurement
Published
2010-01-20
Volume
31
Issue
2
Pages
233-247
ISSN
  • 0967-3334 (ISSN-L)
  • 1361-6579
OpenAlex
W1994883634
Cited by
192
References
0
FWCI
11.46
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Characterization of textile electrodes and conductors using standardized measurement setups. https://app.cochat.ai/papers/10.1088/0967-3334/31/2/009
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Beckmann, L., Neuhaus, C., Medrano, G., Jungbecker, N., Walter, M., Gries, T., & Leonhardt, S. (2010). Characterization of textile electrodes and conductors using standardized measurement setups. Physiological Measurement. https://doi.org/10.1088/0967-3334/31/2/009

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.