Zobrazeno 1 - 10
of 14
pro vyhledávání: '"Michael F. Vignos"'
Autor:
Jan Stenum, Kendra M. Cherry-Allen, Connor O. Pyles, Rachel D. Reetzke, Michael F. Vignos, Ryan T. Roemmich
Publikováno v:
Sensors, Vol 21, Iss 21, p 7315 (2021)
The emergence of pose estimation algorithms represents a potential paradigm shift in the study and assessment of human movement. Human pose estimation algorithms leverage advances in computer vision to track human movement automatically from simple v
Externí odkaz:
https://doaj.org/article/1645132efa314022b1165b5509c8363e
Autor:
Richard Kijowski, Jarred Kaiser, Joshua D. Roth, Geoffrey S. Baer, Colin R. Smith, Michael F. Vignos, Darryl G. Thelen
Publikováno v:
The American Journal of Sports Medicine. 48:3503-3514
Background: Graft placement is a modifiable and often discussed surgical factor in anterior cruciate ligament (ACL) reconstruction (ACLR). However, the sensitivity of functional knee mechanics to variability in graft placement is not well understood.
Autor:
Connor O. Pyles, Jan Stenum, Rachel Reetzke, Michael F. Vignos, Ryan T. Roemmich, Kendra M. Cherry-Allen
Publikováno v:
Sensors, Vol 21, Iss 7315, p 7315 (2021)
Sensors (Basel, Switzerland)
Sensors (Basel, Switzerland)
The emergence of pose estimation algorithms represents a potential paradigm shift in the study and assessment of human movement. Human pose estimation algorithms leverage advances in computer vision to track human movement automatically from simple v
Autor:
Allison L. Clouthier, Daniel Borschneck, Colin R. Smith, Michael F. Vignos, Darryl G. Thelen, Kevin J. Deluzio, Michael J. Rainbow
Publikováno v:
Journal of applied biomechanics. 38(1)
Trochlear groove geometry and the location of the tibial tubercle, where the patellar tendon inserts, have both been associated with patellofemoral instability and can be modified surgically. Although their effects on patellofemoral biomechanics have
Autor:
Dan Negrut, Darryl G. Thelen, Antonio M. Recuero, Scott C.E. Brandon, Michael F. Vignos, Colin R. Smith, Milad Rakhsha
Publikováno v:
Computer Methods in Biomechanics and Biomedical Engineering: Imaging & Visualization. 7:396-405
The collagen fibers in the superficial layer of tibiofemoral articular cartilage exhibit distinct patterns in orientation revealed by split lines. In this study, we introduce a simulation framework to predict cartilage surface loading during walking
Autor:
Alexey Samsonov, Matthew M. Grondin, Richard Kijowski, Corinne R. Henak, Michael F. Vignos, Wan-Ju Li, Fang Liu
Publikováno v:
J Biomech
Non-invasive estimation of cartilage material properties is useful for understanding cartilage health and creating subject-specific computational models. Bi-component T2 mapping measured using Multi-Component Driven Equilibrium Single Shot Observatio
Publikováno v:
Clinical Biomechanics. 34:38-44
Background The pathogenesis of osteoarthritis following anterior cruciate ligament (ACL) reconstruction is currently unknown. The study purpose was to leverage recent advances in quantitative and dynamic MRI to test the hypothesis that abnormal joint
Autor:
Darryl G. Thelen, Kevin J. Deluzio, Michael J. Rainbow, Allison L. Clouthier, Michael F. Vignos, Colin R. Smith
Publikováno v:
Medical engineeringphysics. 66
Articular geometry in the knee varies widely among people which has implications for risk of injury and pathology. The goals of this work were to develop a framework to systematically vary geometry in a multibody knee model and to use this framework
Publikováno v:
Clinical biomechanics (Bristol, Avon). 56
Background Abnormal knee mechanics may contribute to early cartilage degeneration following anterior cruciate ligament reconstruction. Anterior cruciate ligament graft geometry has previously been linked to abnormal tibiofemoral kinematics, suggestin
Autor:
Michael F. Vignos, Jarred Kaiser, Rachel L. Lenhart, Darryl G. Thelen, Colin R. Smith, Bryan C. Heiderscheit
Publikováno v:
Journal of Biomechanics. 48:2871-2878
Interventions used to treat patellofemoral pain in runners are often designed to alter patellofemoral mechanics. This study used a computational model to investigate the influence of two interventions, step rate manipulation and quadriceps strengthen