A mechanism for sensory re-weighting in postural control.
A key finding of human balance experiments has been that the integration of sensory information utilized for postural control appears to be dynamically regulated to adapt to changing environmental conditions and the available sensory information, a process referred to as "sensory re-weighting." We p...
| Publicado en: | Medical & Biological Engineering & Computing Vol. 47; no. 9; pp. 921 - 930 |
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| Autores principales: | , , , , , , , |
| Formato: | research Journal Article |
| Publicado: |
Springer Nature
Sep2009
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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=104907034&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 104907034 longDbName: CINAHL Complete uiTag: AN controlInfo: bkinfo: dissinfo: jinfo: jid: 01400118 PO0 jtl: Medical & Biological Engineering & Computing issn: 01400118 maglogo: N pubinfo: dt: Sep2009 vid: 47 iid: 9 pid: 237 pub: Springer Nature place: New York, New York artinfo: ui: 104907034 NLM19326162 2010382759 10.1007/s11517-009-0477-5 NLM19326162 PMC4899834 104907034 ppf: 921 ppct: 9 formats: fmt: @attributes: type: P tig: atl: A mechanism for sensory re-weighting in postural control. aug: au: Mahboobin A Loughlin P Atkeson C Redfern M Mahboobin, Arash Loughlin, Patrick Atkeson, Chris Redfern, Mark affil: Department of Bioengineering, University of Pittsburgh, Pittsburgh, PA 15261, USA sug: subj: Balance, Postural Feedback Models, Biological ab: A key finding of human balance experiments has been that the integration of sensory information utilized for postural control appears to be dynamically regulated to adapt to changing environmental conditions and the available sensory information, a process referred to as "sensory re-weighting." We propose a postural control model that includes automatic sensory re-weighting. This model is an adaptation of a previously reported model of sensory feedback that included manual sensory re-weighting. The new model achieves sensory re-weighting that is physiologically plausible and readily implemented. Model simulations are compared to previously reported experimental results to demonstrate the automated sensory re-weighting strategy of the modified model. On the whole, the postural sway time series generated by the model with automatic sensory re-weighting show good agreement with experimental data, and are capable of producing patterns similar to those observed experimentally. pubtype: Academic Journal doctype: research Journal Article ougenre: Article language: English refInfo: holdings: @attributes: islocal: N |
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