Research Data Leeds Repository

Data Supporting Characteristics of hip joint reaction forces during a range of activities

Citation

Stewart, Todd (2022) Data Supporting Characteristics of hip joint reaction forces during a range of activities. University of Leeds. [Dataset] https://doi.org/10.5518/1253

Dataset description

This dataset contains the input and output data for a publication reporting the characteristics of joint forces for 13 activities in 18 normal healthy subjects. Activities included Walk, Walk Turn, Stand to Sit, Sit to Stand, Squat, Stand Reach, Kneel Reach, Lunge, and Golf Swing. Within the cohort ∼30% variability occurred in the manner in which each activity was completed. Within the activities the average maximum load characteristics varied in magnitude (0.5–6.4 ρBWT) and also in duration (0.96–5.89 s.) when compared to walking (3.1 ρBWT,1.1 s.). The corresponding impulse ranged from 1.6 during the Walk to 6.7 ρ.BWT.s for the Golf Swing . As high loads with low sliding velocities have been shown in the literature to be damaging to the tribology of compliant contact surfaces the findings are postulated by the authors to be specifically important for the pre-clinical testing of cartilage substitutional materials. Note: Force was normalized to body weight (ρBWT) throughout the study. The dataset contains all of the raw excel data supporting the publication.

Additional information: This dataset is not publicly available. Click the link under ‘Related resources’ to request access via the RADAR Restricted Access Data Repository. You will be asked to complete a request form explaining why you need access to the data. You will receive an initial response to your request within 5 working days.
Keywords: hip, biomechanics, cartilage, wear, tribology
Subjects: University of Leeds > Faculty of Engineering and Physical Sciences > School of Mechanical Engineering
Divisions: Faculty of Engineering and Physical Sciences > School of Mechanical Engineering
Related resources:
LocationType
https://radar.researchdata.leeds.ac.uk/32/Dataset
https://doi.org/10.1097/CORR.0000000000002565Publication
https://eprints.whiterose.ac.uk/195997/Publication
Date deposited: 22 Dec 2022 12:34
URI: https://archive.researchdata.leeds.ac.uk/id/eprint/1052

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