System Identification Applied to the Biomechanical Response of Sudden Loading
Intelligent system identification may more accurately describe sudden load trunk dynamics than current models. While more complex than time-invariant modeling, radial basis function networks simplify system identification. Electromyographic and empirical trunk motion data from six male subjects were...
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Published in | IISE Annual Conference. Proceedings p. 1 |
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Main Authors | , , |
Format | Journal Article |
Language | English |
Published |
Norcross
Institute of Industrial and Systems Engineers (IISE)
01.01.2004
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Subjects | |
Online Access | Get full text |
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Summary: | Intelligent system identification may more accurately describe sudden load trunk dynamics than current models. While more complex than time-invariant modeling, radial basis function networks simplify system identification. Electromyographic and empirical trunk motion data from six male subjects were input into radial basis function networks to yield theoretical angular displacement curves and resultant time-varying stiffness estimates governing these theoretical curves. Peak and average values from the stiffness distributions (1314 Nm/rad and 532 Nm/rad, respectively) were in good agreement with stiffness values calculated in previous work. Significant main effects and interactions of expectation, fatigue, and training on sudden load response were found. [PUBLICATION ABSTRACT] |
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