scholarly journals Numerical analysis for muscle forces supporting the cervical spine

Author(s):  
S. Tadano ◽  
T. Katagiri
2018 ◽  
Vol 51 ◽  
pp. 58-66 ◽  
Author(s):  
Maxim Van den Abbeele ◽  
Fan Li ◽  
Vincent Pomero ◽  
Dominique Bonneau ◽  
Baptiste Sandoz ◽  
...  

2006 ◽  
Vol 15 (3) ◽  
pp. 331-338 ◽  
Author(s):  
Naomi Oizumi ◽  
Shigeru Tadano ◽  
Youichi Narita ◽  
Naoki Suenaga ◽  
Norimasa Iwasaki ◽  
...  

2013 ◽  
Vol 135 (11) ◽  
Author(s):  
Amy Saari ◽  
Christopher R. Dennison ◽  
Qingan Zhu ◽  
Timothy S. Nelson ◽  
Philip Morley ◽  
...  

Current understanding of the biomechanics of cervical spine injuries in head-first impact is based on decades of epidemiology, mathematical models, and in vitro experimental studies. Recent mathematical modeling suggests that muscle activation and muscle forces influence injury risk and mechanics in head-first impact. It is also known that muscle forces are central to the overall physiologic stability of the cervical spine. Despite this knowledge, the vast majority of in vitro head-first impact models do not incorporate musculature. We hypothesize that the simulation of the stabilizing mechanisms of musculature during head-first osteoligamentous cervical spine experiments will influence the resulting kinematics and injury mechanisms. Therefore, the objective of this study was to document differences in the kinematics, kinetics, and injuries of ex vivo osteoligamentous human cervical spine and surrogate head complexes that were instrumented with simulated musculature relative to specimens that were not instrumented with musculature. We simulated a head-first impact (3 m/s impact speed) using cervical spines and surrogate head specimens (n = 12). Six spines were instrumented with a follower load to simulate in vivo compressive muscle forces, while six were not. The principal finding was that the axial coupling of the cervical column between the head and the base of the cervical spine (T1) was increased in specimens with follower load. Increased axial coupling was indicated by a significantly reduced time between head impact and peak neck reaction force (p = 0.004) (and time to injury (p = 0.009)) in complexes with follower load relative to complexes without follower load. Kinematic reconstruction of vertebral motions indicated that all specimens experienced hyperextension and the spectrum of injuries in all specimens were consistent with a primary hyperextension injury mechanism. These preliminary results suggest that simulating follower load that may be similar to in vivo muscle forces results in significantly different impact kinetics than in similar biomechanical tests where musculature is not simulated.


2002 ◽  
Vol 35 (3) ◽  
pp. 339-346 ◽  
Author(s):  
A. Kettler ◽  
E. Hartwig ◽  
M. Schultheiß ◽  
L. Claes ◽  
H.-J. Wilke

1999 ◽  
Vol 15 (2) ◽  
pp. 120-138 ◽  
Author(s):  
Hyeonki Choi ◽  
Ray Vanderby

This study developed a three-dimensional biomechanical model to investigate the internal loads on the human neck that result from isometrically generated loads resisted by a force on the head. The first goal was to apply the double-optimization (DOPT) method, the EMG-based method, and the EMG assisted optimization (EMGAO) method to the neck model, calculating muscle forces and C4/5 cervical joint loads for each method. The second goal was to compare the results of the different methods, and the third was to determine maximum exertion forces in the cervical spine for isometric contractions. To formulate the EMG-based model, electromyographic signals were collected from 10 male subjects. EMG signals were obtained from 8 sites around the C4/5 level of the neck by surface electrodes, while the subject performed near maximum, isometric exertions. The mean maximum values (±SD) calculated for C4/5 joint compressive forces during peak exertions were 1654 (±308) N in flexion by the EMG method, 1674 (±319) N in flexion by the EMGAO method, and 1208 (±123) N in extension by the DOPT method. In contrast to the DOPT method, the EMG and EMGAO methods showed activation of all the muscles, including the antagonists, and accommodated various load distribution patterns among the agonist muscles during generation of the same magnitude of moments, especially in lateral bending. The EMG and EMGAO methods predicted higher cervical spinal loads than previously published results by the DOPT method. These results may be helpful to engineers and surgeons who are designing and using cervical spine implants and instrumentation.


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