Are External Knee Load and EMG Measures Accurate Indicators of Internal Knee Contact Forces during Gait?

No Thumbnail Available
File version
Author(s)
Meyer, Andrew J
D'Lima, Darryl D
Besier, Thor F
Lloyd, David G
Colwell, Clifford W
Fregly, Benjamin J
Griffith University Author(s)
Primary Supervisor
Other Supervisors
Editor(s)
Date
2013
Size
File type(s)
Location
License
Abstract

Mechanical loading is believed to be a critical factor in the development and treatment of knee osteoarthritis. However, the contact forces to which the knee articular surfaces are subjected during daily activities cannot be measured clinically. Thus, the ability to predict internal knee contact forces accurately using external measures (i.e., external knee loads and muscle electromyographic [EMG] signals) would be clinically valuable. We quantified how well external knee load and EMG measures predict internal knee contact forces during gait. A single subject with a force-measuring tibial prosthesis and post-operative valgus alignment performed four gait patterns (normal, medial thrust, walking pole, and trunk sway) to induce a wide range of external and internal knee joint loads. Linear regression analyses were performed to assess how much of the variability in internal contact forces was accounted for by variability in the external measures. Though the different gait patterns successfully induced significant changes in the external and internal quantities, changes in external measures were generally weak indicators of changes in total, medial, and lateral contact force. Our results suggest that when total contact force may be changing, caution should be exercised when inferring changes in knee contact forces based on observed changes in external knee load and EMG measures. Advances in musculoskeletal modeling methods may be needed for accurate estimation of in vivo knee contact forces. 頲012 Orthopaedic Research Society.

Journal Title

Journal of Orthopaedic Research

Conference Title
Book Title
Edition
Volume

31

Issue

6

Thesis Type
Degree Program
School
Publisher link
Patent number
Funder(s)
Grant identifier(s)
Rights Statement
Rights Statement
Item Access Status
Note
Access the data
Related item(s)
Subject

Biomedical engineering

Clinical sciences

Orthopaedics

Sports science and exercise

Persistent link to this record
Citation
Collections