2015
DOI: 10.1080/10255842.2015.1069575
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Muscle force prediction: can we rely on musculoskeletal model estimations? A case study on push force exertions with the upper limb

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Cited by 8 publications
(4 citation statements)
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“…This muscle model requires only the definition of the initial muscle force; the rest of the parameters are modelled according to the assumptions of the Hill-type model (Hill, 1938;Zajac, 1989). Previous studies found good agreement between the simple muscle model and more parameter-intensive models when slower movements are simulated (Damsgaard et al, 2006;Duprey et al, 2015). The simple muscle model basically ignores the differing behaviour of non-contractile elements (e.g.…”
Section: Muscle Modelmentioning
confidence: 99%
“…This muscle model requires only the definition of the initial muscle force; the rest of the parameters are modelled according to the assumptions of the Hill-type model (Hill, 1938;Zajac, 1989). Previous studies found good agreement between the simple muscle model and more parameter-intensive models when slower movements are simulated (Damsgaard et al, 2006;Duprey et al, 2015). The simple muscle model basically ignores the differing behaviour of non-contractile elements (e.g.…”
Section: Muscle Modelmentioning
confidence: 99%
“…Bassani et al, (2017) and Rajaee et al, (2015) simulated lifting loads to compare the predicted lumbar intradiscal pressure with in vivo measurements. Duprey et al, (2015) simulated the medial force at the hand during a hose insertion task. Oomen et al, (2015) developed a rule for strength scaling based on the knee extension strength and validated the simulated leg press strengths using this rule.…”
Section: Introductionmentioning
confidence: 99%
“…Due to the lack in the low cost predicting methods for observing biomechanical load on an operator during production in a workplace, Laring et al [10] developed an ergonomic complement system that gives a first insight into the future ergonomic quality of a planned production; such that by initially identifying the events causing high biomechanical load on the operator, the production engineer gains the opportunity to redesign the process. Duprey et al [11] discussed the challenge of measuring electromyographic (EMG) data in the field for the estimations of the muscular activations to ergonomically assess occupational tasks. The upper limb musculoskeletal (MSK) model from anybody was used for the prediction of joint reactions and muscle activations during a push force exertion task.…”
Section: Introductionmentioning
confidence: 99%