Literature DB >> 10521634

Variability in spine loading model performance.

W S Marras1, K P Granta, K G Davis.   

Abstract

OBJECTIVE: To assess the sources of variability associated with an EMG-assisted model of spine loading.
DESIGN: In vivo measurements of trunk dynamics, lifting moments and muscle activities were used as inputs into an EMG-assisted spine loading model.
BACKGROUND: Several types of variability are inherent in biomechanical assessments of risk associated with trunk bending motions during lifting. Variability may occur as a function of variations in spine loading due to either subject variations in motion profiles (kinematics) or biomechanical model performance.
METHODS: Twelve experienced and inexperienced materials handlers performed 10 repeated lifts where load weight, asymmetry, and velocity were varied. The experiment was replicated on a second day to assess day to day variability.
RESULTS: These model performance variables indicated that variability was mainly a function of subject characteristics and experience. Minor variations in variability were associated with the task asymmetry and weight lifted. Advanced analyses suggested that experienced workers had a greater range of back motion compared to inexperienced workers which would affect the length-strength component of the model calibration.
CONCLUSIONS: This study indicates that for the results of an EMG-assisted model to be accurate, it is important to ensure that the model reflects a realistic relationship between the trunk muscle length and the muscle force production capacity. Underestimation if this relationship can degrade model fidelity and robustness. RELEVANCE: These results imply that by properly calibrating the model it is then reasonable to assume that the vast majority of variations observed in repeated exertions of a particular trial are due to kinematic and kinetic differences inherent in the muscle control system and not a function of model randomness.

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Year:  1999        PMID: 10521634     DOI: 10.1016/s0268-0033(98)90090-0

Source DB:  PubMed          Journal:  Clin Biomech (Bristol, Avon)        ISSN: 0268-0033            Impact factor:   2.063


  1 in total

1.  Use of a personalized hybrid biomechanical model to assess change in lumbar spine function with a TDR compared to an intact spine.

Authors:  Gregory G Knapik; Ehud Mendel; William S Marras
Journal:  Eur Spine J       Date:  2011-03-29       Impact factor: 3.134

  1 in total

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