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Electrical characterization of textile transmission lines
Abstract
In this paper, electrical characterization and modeling of conductive textiles are presented. A dedicated measurement setup has been developed to allow reliable connection of the textile samples with the equipment cables. Geometrical fabric structures and fabrication tolerances as well as high frequency properties up to 6 GHz for four types of textiles have been determined. Transmission lines with controlled characteristic impedance have been realized enabling the characterization of typical line attenuation factors. This work shows that textile transmission lines can be used for frequencies up to 1.2 GHz and 120 MHz with the maximal lengths of 10 and 100 cm, respectively.
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Citations
Cited by
Wearable Electronics and Smart Textiles: A Critical Review
Stoppa, M., & Chiolerio, A. (2014) · Sensors · doi:10.3390/s140711957 · Cited by 2,107
Review of Flexible Temperature Sensing Networks for Wearable Physiological Monitoring
Li, Q., Zhang, L., Tao, X., & Ding, X. (2017) · Advanced Healthcare Materials · doi:10.1002/adhm.201601371 · Cited by 354
Wireless Sensor Networks and Chemo-/Biosensing
Diamond, D., Coyle, S., Scarmagnani, S., & Hayes, J. (2008) · Chemical Reviews · doi:10.1021/cr0681187 · Cited by 265
Metadata
- Authors
- Cottet, D., Grzyb, J., Kirstein, T., & Troster, G.
- Venue
- IEEE Transactions on Advanced Packaging
- Published
- 2003-05
- Volume
- 26
- Issue
- 2
- Pages
- 182-190
- ISSN
- 1521-3323 (ISSN-L)
- OpenAlex
- W2124728962
- Cited by
- 219
- References
- 0
- FWCI
- 6.37
- Type
- journal article
- Language
- en
- Open access
- closed
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- CoChat. (2026). Citation check: Electrical characterization of textile transmission lines. https://app.cochat.ai/papers/10.1109/tadvp.2003.817329
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- Cottet, D., Grzyb, J., Kirstein, T., & Troster, G. (2003). Electrical characterization of textile transmission lines. IEEE Transactions on Advanced Packaging. https://doi.org/10.1109/tadvp.2003.817329
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Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
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.
