Cervical Muscle Activation Characteristics and Head Kinematics in Males and Females Following Acoustic Warnings and Impulsive Head Forces

Author(s):  
Mohammad Homayounpour ◽  
Nicholas G. Gomez ◽  
Alexandra C. Ingram ◽  
Brittany Coats ◽  
Andrew S. Merryweather
Author(s):  
M. A Corrales ◽  
D. S Cronin

The increased incidence of injury demonstrated in epidemiological data for the elderly population, and females compared to males, has not been fully understood in the context of the biomechanical response to impact. A contributing factor to these differences in injury risk could be the variation in geometry between young and aged persons and between males and females. In this study, a new methodology, coupling a CAD and a repositioning software, was developed to reposture an existing Finite element neck while retaining a high level of mesh quality. A 5th percentile female aged neck model (F0575YO) and a 50th percentile male aged neck model (M5075YO) were developed from existing young (F0526YO and M5026YO) neck models (Global Human Body Models Consortium v5.1). The aged neck models included an increased cervical lordosis and an increase in the facet joint angles, as reported in the literature. The young and the aged models were simulated in frontal (2, 8, and 15 g) and rear (3, 7, and 10 g) impacts. The responses were compared using head and relative facet joint kinematics, and nominal intervertebral disc shear strain. In general, the aged models predicted higher tissue deformations, although the head kinematics were similar for all models. In the frontal impact, only the M5075YO model predicted hard tissue failure, attributed to the combined effect of the more anteriorly located head with age, when compared to the M5026YO, and greater neck length relative to the female models. In the rear impacts, the F0575YO model predicted higher relative facet joint shear compared to the F0526YO, and higher relative facet joint rotation and nominal intervertebral disc strain compared to the M5075YO. When comparing the male models, the relative facet joint kinematics predicted by the M5026YO and M5075YO were similar. The contrast in response between the male and female models in the rear impacts was attributed to the higher lordosis and facet angle in females compared to males. Epidemiological data reported that females were more likely to sustain Whiplash Associated Disorders in rear impacts compared to males, and that injury risk increases with age, in agreement with the findings in the present study. This study demonstrated that, although the increased lordosis and facet angle did not affect the head kinematics, changes at the tissue level were considerable (e.g., 26% higher relative facet shear in the female neck compared to the male, for rear impact) and relatable to the epidemiology. Future work will investigate tissue damage and failure through the incorporation of aged material properties and muscle activation.


2020 ◽  
pp. 1-11
Author(s):  
Jessa M. Buchman-Pearle ◽  
David C. Kingston ◽  
Stacey M. Acker

Movement pattern differences may contribute to differential injury or disease prevalence between individuals. The purpose of this study was to identify lower limb movement patterns in high knee flexion, a risk factor for knee osteoarthritis, and to investigate kinematic differences between males and females, as females typically develop knee osteoarthritis more commonly and severely than males. Lower extremity kinematic data were recorded from 110 participants completing 4 variations of squatting and kneeling. Principal component analysis was used to identify principal movements associated with the largest variability in the sample. Across the tasks, similar principal movements emerged at maximal flexion and during transitions. At maximal flexion, females achieved greater knee flexion, facilitated by a wider base of support, which may alter posterior and lateral tibiofemoral stress. Principal movements also detected differences in movement temporality between males and females. When these temporal differences occur due to alterations in movement velocity and/or acceleration, they may elicit changes in muscle activation and knee joint stress. Movement variability identified in the current study provides a framework for potential modifiable factors in high knee flexion, such as foot position, and suggests that kinematic differences between the sexes may contribute to differences in knee osteoarthritis progression.


2014 ◽  
Vol 42 (3) ◽  
pp. 566-576 ◽  
Author(s):  
James T. Eckner ◽  
Youkeun K. Oh ◽  
Monica S. Joshi ◽  
James K. Richardson ◽  
James A. Ashton-Miller

2007 ◽  
Vol 19 (06) ◽  
pp. 349-357 ◽  
Author(s):  
Chih-Hsiu Cheng ◽  
Kwan-Hwa Lin ◽  
Jiu-Jenq Lin ◽  
Jaw-Lin Wang

The assessment of cervical muscle control patterns is important for the diagnosis of cervical dysfunction. Voluntary response index (VRI), including the similarity index (SI) and the magnitude (MAG), provides quantitative analysis of the surface electromyography (sEMG) pattern and total muscle voluntary activities respectively. This study was to investigate the effect of movement directions and speeds of the VRI response of cervical muscles in healthy subjects. The sEMG of bilateral sternocleidomastoid, semispinalis capitis, and splenius capitis were measured in thirteen asymptomatic young subjects. The subjects performed voluntary neck movements in flexion, extension, left and right side bending at fast, medium, and slow speeds. The results showed that SI ranged from 1–0.8 and MAG was generally less than 40 μV. The SI was significantly smallest and the MAG was largest at fast speed. The MAG was also significantly different among directions but the effect of direction on SI was only significant at fast speed. In conclusion, the movement speed and direction could affect the magnitude and control pattern of cervical muscles, such that both the speed and direction of the examined tasks should be carefully monitored during the assessment of cervical muscle activation.


2020 ◽  
Vol 48 (12) ◽  
pp. 2751-2762 ◽  
Author(s):  
Kristen A. Reynier ◽  
Ahmed Alshareef ◽  
Erin J. Sanchez ◽  
Daniel F. Shedd ◽  
Samuel R. Walton ◽  
...  

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