Literature DB >> 19746313

Importance of physical properties of the human head on head-neck injury metrics.

Narayan Yoganandan1, Dennis J Maiman, Yabo Guan, Frank Pintar.   

Abstract

OBJECTIVES: To demonstrate the importance of using specimen-specific head physical properties in head-neck dynamics.
METHODS: Eight postmortem human subjects were subjected to side impact. A 9-axis accelerometer package was used to obtain head translational accelerations. After test, the head was isolated at the skull base, circumference, breadth, and length were obtained, and mass, center of gravity, and occipital condylar locations and moments of inertia were determined. Using specimen-specific and gathered accelerations, 3-dimensional head center of gravity accelerations and forces and moments at the occipital condyles were computed. Head physical properties were also extracted from regression equations using external dimensions of each subject. Using these properties and gathered kinematics, above-described accelerations and forces and moments were computed and compared with specimen-specific results.
RESULTS: Head masses predicted by stature and total body mass were more in close agreement with specimen-specific data than head masses predicted by head circumference or head circumference and head length. The center of gravity to the occipital condyle vector was shorter in the literature-based dataset than the actual specimen-specific vector. Differences in moments of inertias between predicted and specimen-specific data ranged from -15 to 59 percent. Variations in peak antero-posterior shear, lateral shear, and axial force ranged from -12 to 46 percent, -21 to 78 percent, and -17 to 50 percent. Differences in peak lateral moment, sagittal moment, and axial torque ranged from -45 to 78 percent, -86 to 327 percent, and -96 to 112 percent. These were normalized using specimen-specific data.
CONCLUSIONS: Considerable variations in physical properties and injury metrics between data obtained from literature-based regression equations and actual data for each specimen suggest the critical importance of specimen-specific data to accurately describe the biodynamic response and establish tolerance criteria. Because neck dynamics control head kinematics (and vice versa), these results emphasize the need to determine physical properties of each specimen following impact tests.

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Year:  2009        PMID: 19746313     DOI: 10.1080/15389580903132801

Source DB:  PubMed          Journal:  Traffic Inj Prev        ISSN: 1538-9588            Impact factor:   1.491


  4 in total

1.  Influence of head mass on temporo-parietal skull impact using finite element modeling.

Authors:  Debasis Sahoo; Caroline Deck; Narayan Yoganandan; Rémy Willinger
Journal:  Med Biol Eng Comput       Date:  2015-04-12       Impact factor: 2.602

2.  Lateral neck injury assessments in side impact using post mortem human subject tests.

Authors:  Narayan Yoganandan; John Humm; Frank A Pintar; Christopher E Wolfla; Dennis J Maiman
Journal:  Ann Adv Automot Med       Date:  2011

3.  Numerical simulation and analysis of midfacial impacts and traumatic brain injuries.

Authors:  Hao Li; Rong-Jian Lu; Po Wu; Yuan Yuan; Shuyong Yang; Fang-Fang Zhang; Ji Jiang; Yinghui Tan
Journal:  Ann Transl Med       Date:  2021-03

4.  Comparison of Upper Neck Loading in Young Adult and Elderly Volunteers During Low Speed Frontal Impacts.

Authors:  Carmen M Vives-Torres; Manuel Valdano; Jesus R Jimenez-Octavio; Julia Muehlbauer; Sylvia Schick; Steffen Peldschus; Francisco J Lopez-Valdes
Journal:  Front Bioeng Biotechnol       Date:  2021-06-30
  4 in total

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