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David Rugamer

Showing results (1-10 of 8) with videos related to

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Gait & Posture|December 20, 2019
Classifying neck pain status using scalar and functional biomechanical variables - development of a method using functional data boostingBernard X W Liew, David Rugamer, Almond Stocker, et al.
European Spine Journal : Official Publication of the European Spine Society, the European Spinal Deformity Society, and the European Section of the Cervical Spine Research Society|March 4, 2020
Interpretable machine learning models for classifying low back pain status using functional physiological variablesBernard X W Liew, David Rugamer, Alessandro Marco De Nunzio, et al.
Plos One|November 12, 2021
The mechanical energetics of walking across the adult lifespanBernard X W Liew, David Rugamer, Kim Duffy, et al.
Gait & Posture|June 5, 2020
Classifying individuals with and without patellofemoral pain syndrome using ground force profiles - Development of a method using functional data boostingBernard X W Liew, David Rugamer, Deepa Abichandani, et al.
Journal of Neuroengineering and Rehabilitation|June 11, 2025
Evolution of joint power across the lifespan during walkingBernard X W Liew, Rachel Senden, David Rugamer, et al.
Journal of Biomechanics|April 27, 2025
Feasibility of human ethomic biomarkers for the diagnosis and monitoring of hip osteoarthritisBernard X W Liew, David Rugamer, Bradley S Neal, et al.
Journal of Neuroengineering and Rehabilitation|October 24, 2025
Predicting normative walking biomechanics across the lifespan using seven simple featuresBernard X W Liew, Rachel Senden, David Rugamer, et al.
Scientific Reports|October 9, 2020
Clinical predictive modelling of post-surgical recovery in individuals with cervical radiculopathy: a machine learning approachBernard X W Liew, Anneli Peolsson, David Rugamer, et al.
Pageof 1

Showing results (1-10 of 8) with videos related to

Sort By:
Pageof 1
Gait & Posture|December 20, 2019
Classifying neck pain status using scalar and functional biomechanical variables - development of a method using functional data boostingBernard X W Liew, David Rugamer, Almond Stocker, et al.
European Spine Journal : Official Publication of the European Spine Society, the European Spinal Deformity Society, and the European Section of the Cervical Spine Research Society|March 4, 2020
Interpretable machine learning models for classifying low back pain status using functional physiological variablesBernard X W Liew, David Rugamer, Alessandro Marco De Nunzio, et al.
Plos One|November 12, 2021
The mechanical energetics of walking across the adult lifespanBernard X W Liew, David Rugamer, Kim Duffy, et al.
Gait & Posture|June 5, 2020
Classifying individuals with and without patellofemoral pain syndrome using ground force profiles - Development of a method using functional data boostingBernard X W Liew, David Rugamer, Deepa Abichandani, et al.
Journal of Neuroengineering and Rehabilitation|June 11, 2025
Evolution of joint power across the lifespan during walkingBernard X W Liew, Rachel Senden, David Rugamer, et al.
Journal of Biomechanics|April 27, 2025
Feasibility of human ethomic biomarkers for the diagnosis and monitoring of hip osteoarthritisBernard X W Liew, David Rugamer, Bradley S Neal, et al.
Journal of Neuroengineering and Rehabilitation|October 24, 2025
Predicting normative walking biomechanics across the lifespan using seven simple featuresBernard X W Liew, Rachel Senden, David Rugamer, et al.
Scientific Reports|October 9, 2020
Clinical predictive modelling of post-surgical recovery in individuals with cervical radiculopathy: a machine learning approachBernard X W Liew, Anneli Peolsson, David Rugamer, et al.
Pageof 1