Items where Subject is "Biomechanics and Rehabilitation"

Fletcher, J., Ehrhardt, B., MacLeod, A., Whitehouse, M., Gill, H., Preatoni, E., 2019. Dataset for "Non-locking screw insertion: no benefit seen if tightness exceeds 80% of the maximum torque". Bath: University of Bath Research Data Archive. Available from: https://doi.org/10.15125/BATH-00660.

Fletcher, J., Neumann, V., Silva-Henao, J., Burdon, A., Mys, K., Panagiotopoulou, V., Gueorguiev, B., Richards, R., Whitehouse, M., Preatoni, E., Gill, R., 2022. Dataset for "Augmented screwdrivers can increase the performance of orthopaedic surgeons compared with use of normal screwdrivers". Bath: University of Bath Research Data Archive. Available from: https://doi.org/10.15125/BATH-00956.

Fletcher, J., Neumann, V., Wenzel, L., Gueorguiev, B., Richards, R., Gill, R., Whitehouse, M., Preatoni, E., 2020. Dataset for "Variations in non-locking screw insertion conditions generate unpredictable changes to achieved fixation tightness and stripping rates". Bath: University of Bath Research Data Archive. Available from: https://doi.org/10.15125/BATH-00929.

Fletcher, J., Williams, S., Whitehouse, M., Gill, H., Preatoni, E., 2018. Data for "Juvenile bovine bone is an appropriate surrogate for normal and reduced density human bone in biomechanical testing". Bath: University of Bath Research Data Archive. Available from: https://doi.org/10.15125/BATH-00410.

Fletcher, J., Zderic, I., Gueorguiev, B., Richards, R., Whitehouse, M., Gill, R., Preatoni, E., 2020. Dataset for "Stripping torques in human bone can be reliably predicted prior to screw insertion with optimum tightness being found between 70% and 80% of the maximum". Bath: University of Bath Research Data Archive. Available from: https://doi.org/10.15125/BATH-00755.

Fraser, K., Poelma, C., Zhou, Z., Bazigou, E., Tang, M., Weinberg, P., 2016. Dataset for "Ultrasound Imaging Velocimetry with interleaved images for improved pulsatile arterial flow measurements: a new correction method, experimental and in vivo validation". Bath: University of Bath Research Data Archive. Available from: https://doi.org/10.15125/BATH-00318.

Gill, R., MacLeod, A., 2016. Data set for a validated open-source multi-solver fourth generation composite femur model. Bath: University of Bath Research Data Archive. Available from: https://doi.org/10.15125/BATH-00239.

Gill, R., MacLeod, A., Toms, A., 2021. Dataset for "Personalised HTO with patient specific plates has mechanical safety equivalent to generic HTO: findings from a novel case-control in silico clinical trial". Bath: University of Bath Research Data Archive. Available from: https://doi.org/10.15125/BATH-00926.

Ladlow, P., 2019. Data for "Validating the use of multi-sensor devices to estimate physical activity energy expenditure in UK military amputees". Version 2. Bath: University of Bath Research Data Archive. Available from: https://doi.org/10.15125/BATH-00578.

Rodriguez Rivadulla, A., Chen, X., Weir, G., Cazzola, D., Trewartha, G., Hamill, J., Preatoni, E., 2021. Dataset for "Development and validation of FootNet; a new kinematic algorithm to improve foot-strike and toe-off detection in treadmill running". Bath: University of Bath Research Data Archive. Available from: https://doi.org/10.15125/BATH-00965.