Trend Validation of a Musculoskeletal Model with a Workstation Design Parameter
Charles Pontonnier (SMI, INRIA - IRISA), Mark De Zee (SMI), Afshin, Samani (SMI), Georges Dumont (INRIA - IRISA), Pascal Madeleine (SMI)

TL;DR
This paper applies trend validation to a musculoskeletal simulation model to assess how well it predicts the impact of workstation parameters, specifically table height, on musculoskeletal disorder risks during meat cutting tasks.
Contribution
It introduces a trend validation approach to evaluate the accuracy of a musculoskeletal model in relation to workstation design parameters.
Findings
Trend validation successfully assessed model predictions against real data.
Table height significantly affects musculoskeletal risk factors.
The method provides a new way to validate ergonomic simulation models.
Abstract
The aim of this article is to present the application of a trend validation to validate a simulation model. The workstation parameter used to define the trend is the table height of simulated meat cutting tasks (well known to be related to MSD).
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Taxonomy
TopicsMusculoskeletal pain and rehabilitation
