A muscle architecture model offering control over motor unit fiber density distributions.
The aim of this study was to develop a muscle architecture model able to account for the observed distributions of innervation ratios and fiber densities of different types of motor units in a muscle. A model algorithm is proposed and mathematically analyzed in order to obtain an inverse procedure t...
| Publicado en: | Medical & Biological Engineering & Computing Vol. 48; no. 9; pp. 875 - 887 |
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| Autores principales: | , , , , , , , , , |
| Formato: | research Journal Article |
| Publicado: |
Springer Nature
Sep2010
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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=104569304&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 104569304 longDbName: CINAHL Complete uiTag: AN controlInfo: bkinfo: dissinfo: jinfo: jid: 01400118 PO0 jtl: Medical & Biological Engineering & Computing issn: 01400118 maglogo: N pubinfo: dt: Sep2010 vid: 48 iid: 9 pid: 237 pub: Springer Nature place: New York, New York artinfo: ui: 104569304 NLM20535575 2010755592 10.1007/s11517-010-0642-x NLM20535575 104569304 ppf: 875 ppct: 12 formats: fmt: @attributes: type: P tig: atl: A muscle architecture model offering control over motor unit fiber density distributions. aug: au: Navallas J Malanda A Gila L Rodríguez J Rodríguez I Navallas, Javier Malanda, Armando Gila, Luis Rodríguez, Javier Rodríguez, Ignacio affil: Department of Electric and Electronic Engineering, Public University of Navarra, Pamplona, Navarra, Spain sug: subj: Models, Biological Motor Neurons Muscle, Skeletal Algorithms Electromyography Methods Motor Neurons Physiology Muscle, Skeletal Physiology Muscle, Skeletal Innervation ab: The aim of this study was to develop a muscle architecture model able to account for the observed distributions of innervation ratios and fiber densities of different types of motor units in a muscle. A model algorithm is proposed and mathematically analyzed in order to obtain an inverse procedure that allows, by modification of input parameters, control over the output distributions of motor unit fiber densities. The model's performance was tested with independent data from a glycogen depletion study of the medial gastrocnemius of the rat. Results show that the model accurately reproduces the observed physiological distributions of innervation ratios and fiber densities and their relationships. The reliability and accuracy of the new muscle architecture model developed here can provide more accurate models for the simulation of different electromyographic signals. pubtype: Academic Journal doctype: research Journal Article ougenre: Article language: English refInfo: holdings: @attributes: islocal: N |
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