Research Data Leeds Repository
Data Associated with "The effect of surgical alignment and soft tissue conditions on the kinematics and wear of a fixed bearing total knee replacement"
Citation
Johnston, Helena and Jennings, Louise M. (2019) Data Associated with "The effect of surgical alignment and soft tissue conditions on the kinematics and wear of a fixed bearing total knee replacement". University of Leeds. [Dataset] https://doi.org/10.5518/594
Dataset description
Data associated with the paper "The effect of surgical alignment and soft tissue conditions on the kinematics and wear of a fixed bearing total knee replacement". This dataset contains:
- Figure 3. The raw data for mean output AP displacement with the 95% CI for each alignment condition under the stiff knee, preserved PCL and resected PCL soft tissue conditions.
- Figure 4. The raw data for mean output TR rotation with the 95% CI for each alignment condition under the stiff knee, preserved PCL and resected PCL soft tissue conditions.
- Figure 5. The raw data for mean output AA rotation with the 95% CI for each alignment condition under the stiff knee, the preserved PCL and the resected PCL soft tissue conditions.
- Figure 6. The raw data for Mean wear rates with 95% CI over 2 MC for the ideal, 4° varus, 14° rotational mismatch and 10° tibial slope alignment conditions for two soft tissue conditions.
Keywords: | Total knee replacement Wear Surgical alignment Kinematics Simulation Contact mechanics | ||||||
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Subjects: | H000 - Engineering > H100 - General engineering > H160 - Bioengineering, biomedical engineering & clinical engineering | ||||||
Divisions: | Faculty of Biological Sciences > Institute of Medical and Biological Engineering Faculty of Engineering and Physical Sciences > Institute of Medical and Biological Engineering Faculty of Engineering and Physical Sciences > School of Mechanical Engineering > Institute of Medical and Biological Engineering |
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License: | Creative Commons Attribution 4.0 International (CC BY 4.0) | ||||||
Date deposited: | 29 Apr 2020 13:51 | ||||||
URI: | https://archive.researchdata.leeds.ac.uk/id/eprint/661 | ||||||