Musculoskeletal modelling of muscle activation and applied external forces for the correction of scoliosis.
Background: This study uses biomechanical modelling and computational optimization to investigate muscle activation in combination with applied external forces as a treatment for scoliosis. Bracing, which incorporates applied external forces, is the most popular non surgical treatment for scoliosis....
| Publicado en: | Journal of NeuroEngineering & Rehabilitation (JNER) Vol. 11; no. 1; pp. 52 - 53 |
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| Autores principales: | , |
| Formato: | research Journal Article |
| Publicado: |
BioMed Central
2014
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| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ccm&AN=103928337&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 103928337 longDbName: CINAHL Complete uiTag: AN controlInfo: bkinfo: dissinfo: jinfo: jid: 17430003 1CUC jtl: Journal of NeuroEngineering & Rehabilitation (JNER) issn: 17430003 maglogo: N pubinfo: dt: 2014 vid: 11 iid: 1 pid: 24147 pub: BioMed Central artinfo: ui: 103928337 103928337 NLM24708652 2012549106 10.1186/1743-0003-11-52 NLM24708652 PMC3986451 103928337 ppf: 52 ppct: 1 formats: tig: atl: Musculoskeletal modelling of muscle activation and applied external forces for the correction of scoliosis. aug: au: Curtin, Maurice Lowery, Madeleine M affil: School of Electrical, Electronic and Communications Engineering, University College Dublin, Dublin, Belfield, Ireland. maurice.curtin@ucdconnect.ie. sug: subj: Computer Simulation Electrotherapy Muscle, Skeletal Physiology Scoliosis Physiopathology Scoliosis Therapy Kinematics Human ab: Background: This study uses biomechanical modelling and computational optimization to investigate muscle activation in combination with applied external forces as a treatment for scoliosis. Bracing, which incorporates applied external forces, is the most popular non surgical treatment for scoliosis. Non surgical treatments which make use of muscle activation include electrical stimulation, postural control, and therapeutic exercises. Electrical stimulation has been largely dismissed as a viable treatment for scoliosis, although previous studies have suggested that it can potentially deliver similarly effective corrective forces to the spine as bracing.Methods: The potential of muscle activation for scoliosis correction was investigated over different curvatures both with and without the addition of externally applied forces. The five King's classifications of scoliosis were investigated over a range of Cobb angles. A biomechanical model of the spine was used to represent various scoliotic curvatures. Optimization was applied to the model to reduce the curves using combinations of both deep and superficial muscle activation and applied external forces.Results: Simulating applied external forces in combination with muscle activation at low Cobb angles (< 20 degrees) over the 5 King's classifications, it was possible to reduce the magnitude of the curve by up to 85% for classification 4, 75% for classifications 3 and 5, 65% for classification 2, and 60% for classification 1. The reduction in curvature was less at larger Cobb angles. For King's classifications 1 and 2, the serratus, latissimus dorsi, and trapezius muscles were consistently recruited by the optimization algorithm for activation across all Cobb angles. When muscle activation and external forces were applied in combination, lower levels of muscle activation or less external force was required to reduce the curvature of the spine, when compared with either muscle activation or external force applied in isolation.Conclusions: The results of this study suggest that activation of superficial and deep muscles may be effective in reducing spinal curvature at low Cobb angles when muscle groups are selected for activation based on the curve type. The findings further suggest the potential for a hybrid treatment involving combined muscle activation and applied external forces at larger Cobb angles. pubtype: Academic Journal doctype: research Journal Article ougenre: Article language: English refInfo: holdings: @attributes: islocal: N |
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