Abstract
Ergonomists suggest that increasing exposure variation at work may prevent development of work related musculoskeletal disorder in the jobs which are characterized by repetitive pattern of exposure. However, different methodological approaches could be adopted to quantify exposure variation. ErgoVar provides the implementation of relevant computational methods for analysis of exposure variation. It consists of a set of linear and nonlinear processing methods relevant to exposure variation analysis. It is free for downloading and sharing. ErgoVar aim is to facilitate the research focusing on exposure variation.
Highlights
Lack of exposure variation has been suggested to be associated with development of work related musculoskeletal disorder in “repetitive works” [1]
A similar concept has attracted attention within the sport science field where the implication of the motor variability in sport activities has been introduced in skill achievement and susceptibility to injuries [4]
Exposure variation analysis: exposure variation analysis (EVA) was first introduced about two decades ago as a general computational framework for exposure variation quantification in ergonomic studies [10] and it has been subsequently used in several other studies in its original or a modified format [12,13]
Summary
Lack of exposure variation has been suggested to be associated with development of work related musculoskeletal disorder in “repetitive works” [1]. What is known as motor variability reflects the observed variability at different levels of movement execution across time and within individuals [5]. A sophisticated universal index to quantify and interpret motor variability is still absent or may be non-existing because variability has different aspects that cannot be reflected in only one index [5]. ErgoVar is a framework which consists of several functionalities including aforementioned quantification methods and allows the researchers in the field to take benefit of the proposed methods in their own research.
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