Modified electromyography-assisted optimization approach for predicting lumbar spine loading while walking with backpack loads

This study modified an electromyography-assisted optimization approach for predicting lumbar spine loading while walking with backpack loads. The modified-electromyography-assisted optimization approach eliminated the electromyography measurement at maximal voluntary contraction and adopted a linear...

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Bibliographic Details
Published in:Proceedings of the Institution of Mechanical Engineers. Part H, Journal of engineering in medicine Journal of engineering in medicine, 2020-05, Vol.234 (5), p.527-533
Main Authors: Li, Simon SW, Chow, Daniel HK
Format: Article
Language:English
Subjects:
Algorithms
Anthropometry
Biomechanical Phenomena
Boundary conditions
Compression
Computer applications
Contraction
Deviation
Electromyography
Humans
Joints (anatomy)
Loads (forces)
Lumbar Vertebrae - physiology
Male
Optimization
Spine
Spine (lumbar)
Standard error
Trunk muscles
Walking - physiology
Weight-Bearing
Young Adult
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Summary:This study modified an electromyography-assisted optimization approach for predicting lumbar spine loading while walking with backpack loads. The modified-electromyography-assisted optimization approach eliminated the electromyography measurement at maximal voluntary contraction and adopted a linear electromyography–force relationship. Moreover, an optimal lower boundary condition for muscle gain was introduced to constrain the trunk muscle co-activation. Anthropometric information of 10 healthy young men as well as their kinematic, kinetic, and electromyography data obtained while walking with backpack loads were used as inputs in this study. A computational algorithm was used to find and analyse the sensitivity of the optimal lower boundary condition for achieving minimum deviation of the modified-electromyography-assisted optimization approach from the electromyography-assisted optimization approach for predicting lumbosacral joint compression force. Results validated that the modified-electromyography-assisted optimization approach (at optimal lower boundary condition of 0.92) predicted on average, a non-significant deviation in peak lumbosacral joint compression force of −18 N, a standard error of 9 N, and a root mean square difference in force profile of 73.8 N. The modified-electromyography-assisted optimization approach simplified the experimental process by eliminating the electromyography measurement at maximal voluntary contraction and provided comparable estimations for lumbosacral joint compression force that is also applicable to patients or individuals having difficulty in performing the maximal voluntary contraction activity.
ISSN:0954-4119
2041-3033
DOI:10.1177/0954411920906243