title: A hybrid static optimisation method to estimate muscle forces during muscle co-activation.
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.
authors.affiliation: Department of Biomedical Engineering, Yonsei University, Wonju, Gangwon, South Korea.
authors.forename: Jongsang
authors.initials: J
authors.lastname: Son
authors.forename: Sungjae
authors.initials: S
authors.lastname: Hwang
authors.forename: Youngho
authors.initials: Y
authors.lastname: Kim
mesh_terms: D000328:Adult; D003198:Computer Simulation; D006801:Humans; D008297:Male; D008954:Models, Biological; D009068:Movement / Q000502:physiology*; D009119:Muscle Contraction / Q000502:physiology*; D053580:Muscle Strength / Q000502:physiology*; D018482:Muscle, Skeletal / Q000502:physiology*; D013314:Stress, Mechanical