David John Saxby

13 papers Journal 13
YearRankTypeTitle / Venue / Authors
2025 J jnl
An Automated and Robust Tool for Musculoskeletal and Finite Element Modeling of the Knee Joint.
IEEE Trans. Biomed. Eng.
Amir Esrafilian, Shekhar S. Chandra, Anthony A. Gatti, Mikko J. Nissi, Anne-Mari Mustonen, Laura Säisänen, Jusa Reijonen, Petteri Nieminen, Petro Julkunen, Juha Töyräs, David John Saxby, David G. Lloyd, Rami K. Korhonen
2025 J jnl
Simulated effects of surgical corrections on bone-implant micromotion and implant stresses in paediatric proximal femoral osteotomy.
Comput. Biol. Medicine
Alireza Y. Bavil, Emmanuel Eghan-Acquah, Ayda Karimi Dastgerdi, Laura E. Diamond, Rod S. Barrett, Henry Pj. Walsh, Martina Barzan, David John Saxby, Stefanie Feih, Christopher P. Carty
2024 J jnl
Automatic generation of knee kinematic models from medical imaging.
Comput. Methods Programs Biomed.
Beichen Shi, Martina Barzan, Azadeh Nasseri, Jayishni N. Maharaj, Laura E. Diamond, David John Saxby
2024 J jnl
Enhancing biomechanical outcomes in proximal femoral osteotomy through optimised blade plate sizing: A neuromusculoskeletal-informed finite element analysis.
Comput. Methods Programs Biomed.
Emmanuel Eghan-Acquah, Alireza Y. Bavil, David Bade, Martina Barzan, Azadeh Nasseri, David John Saxby, Stefanie Feih, Christopher P. Carty
2024 J jnl
Sensitivity analysis of paediatric knee kinematics to the graft surgical parameters during anterior cruciate ligament reconstruction: A sequentially linked neuromusculoskeletal-finite element analysis.
Comput. Methods Programs Biomed.
Ayda Karimi Dastgerdi, Amir Esrafilian, Christopher P. Carty, Azadeh Nasseri, Martina Barzan, Rami K. Korhonen, Ivan Astori, Wayne Hall, David John Saxby
2022 J jnl
An EMG-Assisted Muscle-Force Driven Finite Element Analysis Pipeline to Investigate Joint- and Tissue-Level Mechanical Responses in Functional Activities: Towards a Rapid Assessment Toolbox.
IEEE Trans. Biomed. Eng.
Amir Esrafilian, Lauri Stenroth, Mika E. Mononen, Paavo Vartiainen, Petri Tanska, Pasi A. Karjalainen, Juha-Sampo Suomalainen, Jari P. A. Arokoski, David John Saxby, David G. Lloyd, Rami K. Korhonen
2022 J jnl
Development of predictive statistical shape models for paediatric lower limb bones.
Comput. Methods Programs Biomed.
Beichen Shi, Martina Barzan, Azadeh Nasseri, Christopher P. Carty, David G. Lloyd, Giorgio Davico, Jayishni N. Maharaj, Laura E. Diamond, David John Saxby
2022 J jnl
The Deep Hip Muscles are Unlikely to Stabilize the Hip in the Sagittal Plane During Walking: A Joint Stiffness Approach.
IEEE Trans. Biomed. Eng.
Evy Meinders, Claudio Pizzolato, Basílio A. M. Gonçalves, David G. Lloyd, David John Saxby, Laura E. Diamond
2021 J jnl
Individuals with Unilateral Mild-to-Moderate Hip Osteoarthritis Exhibit Lower Limb Kinematic Asymmetry during Walking But Not Sit-to-Stand.
Symmetry
Jeremy P. Higgs, Laura E. Diamond, David John Saxby, Maria Constantinou, Rod S. Barrett
2020 J jnl
Fusing Accelerometry with Videography to Monitor the Effect of Fatigue on Punching Performance in Elite Boxers.
Sensors
Nicos Haralabidis, David John Saxby, Claudio Pizzolato, Laurie Needham, Dario Cazzola, Clare Minahan
2020 J jnl
Modelling the loading mechanics of anterior cruciate ligament.
Comput. Methods Programs Biomed.
Azadeh Nasseri, Hamid Khataee, Adam Bryant, David G. Lloyd, David John Saxby
2019 J jnl
Neuromusculoskeletal Modeling-Based Prostheses for Recovery After Spinal Cord Injury.
Frontiers Neurorobotics
Claudio Pizzolato, David John Saxby, Dinesh Palipana, Laura E. Diamond, Rod S. Barrett, Yang D. Teng, David G. Lloyd
2017 J jnl
Bioinspired Technologies to Connect Musculoskeletal Mechanobiology to the Person for Training and Rehabilitation.
Frontiers Comput. Neurosci.
Claudio Pizzolato, David G. Lloyd, Rod S. Barrett, Jill L. Cook, Ming H. Zheng, Thor F. Besier, David John Saxby