A mathematical tool to generate complex whole body motor tasks and test hypotheses on underlying motor planning.
In spite of the complexity of human motor behavior, difficulties in mathematical modeling have restricted to rather simple movements attempts to identify the motor planning criterion used by the central nervous system. This paper presents a novel-simulation technique able to predict the "desired tra...
| Publicado en: | Medical & Biological Engineering & Computing Vol. 46; no. 1; pp. 11 - 23 |
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| Autores principales: | , , , , , , , |
| Formato: | research Journal Article |
| Publicado: |
Springer Nature
Jan2008
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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=105546065&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 105546065 longDbName: CINAHL Complete uiTag: AN controlInfo: bkinfo: dissinfo: jinfo: jid: 01400118 PO0 jtl: Medical & Biological Engineering & Computing issn: 01400118 maglogo: N pubinfo: dt: Jan2008 vid: 46 iid: 1 pid: 237 pub: Springer Nature place: New York, New York artinfo: ui: 105546065 NLM17846806 2009888902 10.1007/s11517-007-0252-4 NLM17846806 105546065 ppf: 11 ppct: 12 formats: fmt: @attributes: type: P tig: atl: A mathematical tool to generate complex whole body motor tasks and test hypotheses on underlying motor planning. aug: au: Tagliabue M Pedrocchi A Pozzo T Ferrigno G Tagliabue, Michele Pedrocchi, Alessandra Pozzo, Thierry Ferrigno, Giancarlo affil: Department of Bioengineering, Politecnico di Milano, NITlab, Milano, Italy sug: subj: Models, Biological Movement Physiology Psychomotor Performance Algorithms Biomechanics Posture Physiology Reproducibility of Results Human ab: In spite of the complexity of human motor behavior, difficulties in mathematical modeling have restricted to rather simple movements attempts to identify the motor planning criterion used by the central nervous system. This paper presents a novel-simulation technique able to predict the "desired trajectory" corresponding to a wide range of kinematic and kinetic optimality criteria for tasks involving many degrees of freedom and the coordination between goal achievement and balance maintenance. Employment of proper time discretization, inverse dynamic methods and constrained optimization technique are combined. The application of this simulator to a planar whole body pointing movement shows its effectiveness in managing system nonlinearities and instability as well as in ensuring the anatomo-physiological feasibility of predicted motor plans. In addition, the simulator's capability to simultaneously optimize competing movement aspects represents an interesting opportunity for the motor control community, in which the coexistence of several controlled variables has been hypothesized. pubtype: Academic Journal doctype: research Journal Article ougenre: Article language: English refInfo: holdings: @attributes: islocal: N |
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