A hybrid static optimisation method to estimate muscle forces during muscle co-activation

Jongsang Son, Sungjae Hwang, Youngho Kim*

*Corresponding author for this work

Research output: Contribution to journalArticle

4 Scopus citations

Abstract

The general static optimisation (GSO) process is one of various muscle force estimation methods due to its low computational requirements. However, it can show biased muscle force estimation under muscle co-contraction. In the present study, we introduced a novel hybrid static optimisation (HSO) method to estimate reasonable muscle forces during muscle co-activation movements using more specific equality constraints, i.e. agonist and antagonist muscle moments predicted from a new correlation coefficient approach. The new method was evaluated for heel-rise movements. We found that the proposed method improved the potential of antagonist muscle force estimation in comparison to the GSO solutions. The proposed HSO method could be applied in biomechanics and rehabilitation, for example.

Original languageEnglish (US)
Pages (from-to)249-254
Number of pages6
JournalComputer Methods in Biomechanics and Biomedical Engineering
Volume15
Issue number3
DOIs
StatePublished - Mar 1 2012

Keywords

  • Co-activation
  • Electromyography
  • Muscle force
  • Static optimisation

ASJC Scopus subject areas

  • Bioengineering
  • Biomedical Engineering
  • Human-Computer Interaction
  • Computer Science Applications

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