Comparison of gender specific and anthropometrically scaled musculoskeletal model predictions using the sorensen test

Phillip E. Whitley, Paulien E. Roos, Xianlian Zhou

Research output: Chapter in Book/Report/Conference proceedingConference contribution

4 Scopus citations

Abstract

Modeling gender and anthropometric influence on human response is essential for understanding biomechanical stressors, population task capability, and injury risk. Arbitrary anthropometric musculoskeletal (MSK) models were generated based on gender and anthropometric variables with MSK muscle strength optimized using lower spinal moment generation capacity. Two female (F1, F2) and two male (M1, M2) MSK models were compared using a 300 s Sorensen test simulation for muscle activation, forces, capacity, pain score, and lumbar joint reaction forces and moments. Predicted muscle activation, force, capacity, pain score, reaction shear and compressive force, and reaction pitch moment followed a body size relationship where M2 > M1 > F2 > F1. The anthropometric MSK model generation process created variants that were not simply proportionally scaled versions of the reference model in dimension and strength. The smallest MSK model (F1) exhibited comparatively higher capacity than the other models in agreement with literature.

Original languageEnglish (US)
Title of host publicationAdvances in Human Factors in Simulation and Modeling - Proceedings of the AHFE 2017 International Conference on Human Factors in Simulation and Modeling, 2017
EditorsDaniel N. Cassenti
PublisherSpringer Verlag
Pages469-477
Number of pages9
ISBN (Print)9783319605906
DOIs
StatePublished - 2018
Externally publishedYes
EventAHFE 2017 International Conference on Human Factors in Simulation and Modeling, 2017 - Los Angeles, United States
Duration: Jul 17 2017Jul 21 2017

Publication series

NameAdvances in Intelligent Systems and Computing
Volume591
ISSN (Print)2194-5357

Conference

ConferenceAHFE 2017 International Conference on Human Factors in Simulation and Modeling, 2017
Country/TerritoryUnited States
CityLos Angeles
Period7/17/177/21/17

All Science Journal Classification (ASJC) codes

  • Control and Systems Engineering
  • General Computer Science

Keywords

  • Anthropometric scaling
  • Anthropometry
  • Lumbar model
  • Musculoskeletal models
  • Sorensen test

Fingerprint

Dive into the research topics of 'Comparison of gender specific and anthropometrically scaled musculoskeletal model predictions using the sorensen test'. Together they form a unique fingerprint.

Cite this