Comparative evaluation of motor unit architecture models.
We present a statistical evaluation and comparison of the simulation outcomes of nine different motor unit architecture modeling approaches, which derive from combinations of four motor unit territory placement algorithms with two innervation pattern algorithms (one of the combinations allows for a...
| Publicado en: | Medical & Biological Engineering & Computing Vol. 47; no. 11; pp. 1131 - 1143 |
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| Autores principales: | , , , , , , , , , |
| Formato: | research Journal Article |
| Publicado: |
Springer Nature
Nov2009
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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=104907571&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 104907571 longDbName: CINAHL Complete uiTag: AN controlInfo: bkinfo: dissinfo: jinfo: jid: 01400118 PO0 jtl: Medical & Biological Engineering & Computing issn: 01400118 maglogo: N pubinfo: dt: Nov2009 vid: 47 iid: 11 pid: 237 pub: Springer Nature place: New York, New York artinfo: ui: 104907571 NLM19705178 2010453655 10.1007/s11517-009-0526-0 NLM19705178 104907571 ppf: 1131 ppct: 12 formats: fmt: @attributes: type: P tig: atl: Comparative evaluation of motor unit architecture models. aug: au: Navallas J Malanda A Gila L Rodriguez J Rodriguez I Navallas, Javier Malanda, Armando Gila, Luis Rodriguez, Javier Rodriguez, Ignacio affil: Department of Electric and Electronic Engineerging, Public University of Navarra, 31006, Pamplona, Navarra, Spain sug: subj: Computer Simulation Movement Muscle, Skeletal Physiology Algorithms ab: We present a statistical evaluation and comparison of the simulation outcomes of nine different motor unit architecture modeling approaches, which derive from combinations of four motor unit territory placement algorithms with two innervation pattern algorithms (one of the combinations allows for a double approach). We test how well the outcomes of these models agree with well-established physiological principles. Our results show that algorithms based on independent and uniformly distributed territory placement always lead to an unwanted edge effect consisting in a decay of the number of overlapping motor unit territories toward the edge of the muscle cross section. This edge effect interferes with the properties of the simulated motor units. On the other hand, controlled placement of motor units, so as to minimize the spatial variance of muscle fiber density (MFD), can result in simulated motor units which better reflect the empirical evidence currently available about motor unit architecture. pubtype: Academic Journal doctype: research Journal Article ougenre: Article language: English refInfo: holdings: @attributes: islocal: N |
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