scholarly journals Baseline three-dimensional knee joint biomechanics and muscle activation patterns differ between those with moderate OA who have radiographic progression versus those who do not

2014 ◽  
Vol 22 ◽  
pp. S83
Author(s):  
C.L. Hubley-Kozey ◽  
K.E. Costello ◽  
G.L. Hatfield ◽  
J. Astephen-Wilson ◽  
W.D. Stanish
2016 ◽  
Vol 22 (14) ◽  
pp. 1768-1776 ◽  
Author(s):  
L Eduardo Cofré Lizama ◽  
Fary Khan ◽  
Peter VS Lee ◽  
Mary P Galea

Laboratory gait analysis or three-dimensional gait analysis (3DGA), which uses motion capture, force plates and electromyography (EMG), has allowed a better understanding of the underlying mechanisms of gait deterioration in patients with multiple sclerosis (PwMS). This review will summarize the current knowledge on multiple sclerosis (MS)-related changes in kinematics (angles), kinetics (forces) and electromyographic (muscle activation) patterns and how these measures can be used as markers of disease progression. We will also discuss the potential causes of slower walking in PwMS and the implications for 3DGA. Finally, we will describe new technologies and methods that will increase precision and clinical utilization of 3DGA in PwMS. Overall, 3DGA studies have shown that functionality of the ankle joint is the most affected during walking and that compensatory actions to maintain a functional speed may be insufficient in PwMS. However, altered gait patterns may be a strategy to increase stability as balance is also affected in PwMS.


2020 ◽  
Author(s):  
Azadeh Nasseri ◽  
David G Lloyd ◽  
Adam L Bryant ◽  
Jonathon Headrick ◽  
Timothy Sayer ◽  
...  

AbstractThis study determined anterior cruciate ligament (ACL) force and its contributors during a standardized drop-land-lateral jump task using a validated computational model. Healthy females (n=24) who were recreationally active performed drop-land-lateral jump and straight run tasks. Three-dimensional whole-body kinematics, ground reaction forces, and muscle activation patterns from eight lower limb muscles were collected concurrently during both tasks, but only the jump was analyzed computationally, with the run included for model calibration. External biomechanics, muscle-tendon unit kinematics, and muscle activation patterns were used to model lower limb muscle and ACL forces. Peak ACL force (2.3±0.5 BW) was observed at 13% of the stance phase during the drop-land-lateral jump task. The ACL force was primarily developed through the sagittal plane, and muscle was the dominant source of ACL loading. The gastrocnemii and quadriceps were main ACL antagonists (i.e., loaders), while hamstrings were the main ACL agonists (i.e., supporters).


2017 ◽  
Vol 25 ◽  
pp. S138-S139
Author(s):  
M. Okawa ◽  
T. Kobayashi ◽  
T. Kannari ◽  
H. Horiuchi ◽  
N. Matsui ◽  
...  

2014 ◽  
Vol 22 ◽  
pp. S107
Author(s):  
T. Kobayashi ◽  
M. Yamanaka ◽  
T. Kannari ◽  
H. Horiuchi ◽  
N. Matsui ◽  
...  

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