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A Proposed Algorithm to Assess Concussion Potential in Rear-End Motor Vehicle Collisions: A Meta-Analysis
المؤلفون المشاركون
Limousis-Gayda, Manon
Hashish, Rami
المصدر
Applied Bionics and Biomechanics
العدد
المجلد 2020، العدد 2020 (31 ديسمبر/كانون الأول 2020)، ص ص. 1-6، 6ص.
الناشر
Hindawi Publishing Corporation
تاريخ النشر
2020-05-14
دولة النشر
مصر
عدد الصفحات
6
التخصصات الرئيسية
الملخص EN
Concussions represent an increasing economic burden to society.
Motor vehicle collisions (MVCs) are of the leading causes for sustaining a concussion, potentially due to high head accelerations.
The change in velocity (i.e., delta-V) of a vehicle in a MVC is an established metric for impact severity.
Accordingly, the purpose of this paper is to analyze findings from previous research to determine the relation between delta-V and linear head acceleration, including occupant parameters.
Data was collected from previous research papers comprising both linear head acceleration and delta-V at the time of incident, head position of the occupant, awareness of the occupant prior to impact, as well as gender, age, height, and weight.
Statistical analysis revealed the following significant power relation between delta-V and head acceleration: head acceleration=0.465delta‐V1.3231 (R2=0.5913, p<0.001).
Further analysis revealed that alongside delta-V, the occupant’s gender and head position prior to impact were significant predictors of head acceleration (p=0.022 and p=0.001, respectively).
The strongest model developed in this paper is considered physiologically implausible as the delta-V corresponding to a theoretical concussion threshold of 80 g exceeds the delta-V associated with probability of fatality.
Future research should be aimed at providing a more thorough data set of the occupant head kinematics in MVCs to help develop a stronger predictive model for the relation between delta-V and head linear and angular acceleration.
نمط استشهاد جمعية علماء النفس الأمريكية (APA)
Limousis-Gayda, Manon& Hashish, Rami. 2020. A Proposed Algorithm to Assess Concussion Potential in Rear-End Motor Vehicle Collisions: A Meta-Analysis. Applied Bionics and Biomechanics،Vol. 2020, no. 2020, pp.1-6.
https://search.emarefa.net/detail/BIM-1120249
نمط استشهاد الجمعية الأمريكية للغات الحديثة (MLA)
Limousis-Gayda, Manon& Hashish, Rami. A Proposed Algorithm to Assess Concussion Potential in Rear-End Motor Vehicle Collisions: A Meta-Analysis. Applied Bionics and Biomechanics No. 2020 (2020), pp.1-6.
https://search.emarefa.net/detail/BIM-1120249
نمط استشهاد الجمعية الطبية الأمريكية (AMA)
Limousis-Gayda, Manon& Hashish, Rami. A Proposed Algorithm to Assess Concussion Potential in Rear-End Motor Vehicle Collisions: A Meta-Analysis. Applied Bionics and Biomechanics. 2020. Vol. 2020, no. 2020, pp.1-6.
https://search.emarefa.net/detail/BIM-1120249
نوع البيانات
مقالات
لغة النص
الإنجليزية
الملاحظات
Includes bibliographical references
رقم السجل
BIM-1120249
قاعدة معامل التأثير والاستشهادات المرجعية العربي "ارسيف Arcif"
أضخم قاعدة بيانات عربية للاستشهادات المرجعية للمجلات العلمية المحكمة الصادرة في العالم العربي
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