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

Siu Wai Simon LI, Hung Kay Daniel CHOW

Research output: Contribution to journalArticles

Abstract

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. Copyright © 2020 by Institution of Mechanical Engineers.
Original languageEnglish
Pages (from-to)527-533
JournalProceedings of the Institution of Mechanical Engineers, Part H: Journal of Engineering in Medicine
Volume234
Issue number5
Early online date13 Feb 2020
DOIs
Publication statusPublished - 01 May 2020

Citation

Li, S. S. W., & Chow, D. H. K. (2020). Modified electromyography-assisted optimization approach for predicting lumbar spine loading while walking with backpack loads. Proceedings of the Institution of Mechanical Engineers, Part H: Journal of Engineering in Medicine, 234(5), 527-533. doi: 10.1177/0954411920906243

Keywords

  • Electromyography
  • Biomechanical model
  • Muscle gain
  • Spinal loads

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