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 (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 | ||||||