Determination of the optimal number of linked rigid-bodies of the trunk during walking and running based on Akaike's information criterion.
Background: In the three-dimensional kinematic analysis of the trunk during human locomotion, a multi-segmental rigid-body model would be a better representation for the trunk compared with a single rigid-body model with regard to goodness-of-fit. However, there is a trade-off between data fitting a...
| Publicado en: | Gait & Posture Vol. 77; pp. 264 - 269 |
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| Autores principales: | , , , |
| Formato: | equations & formulas research Journal Article |
| Publicado: |
Elsevier B.V.
Mar2020
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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=142064698&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 142064698 longDbName: CINAHL Complete uiTag: AN controlInfo: bkinfo: dissinfo: jinfo: jid: 09666362 3L6 jtl: Gait & Posture issn: 09666362 maglogo: N pubinfo: dt: Mar2020 vid: 77 pid: 1004 pub: Elsevier B.V. artinfo: ui: 142064698 142064698 NLM32087596 142064698 10.1016/j.gaitpost.2020.02.009 NLM32087596 142064698 ppf: 264 ppct: 5 formats: tig: atl: Determination of the optimal number of linked rigid-bodies of the trunk during walking and running based on Akaike's information criterion. aug: au: Kudo, Shoma Fujimoto, Masahiro Sato, Takahiko Nagano, Akinori affil: Graduate School of Sport and Health Science, Ritsumeikan University, Japan sug: subj: Walking Physiology Models, Biological Torso Physiology Running Physiology Young Adult Kinematics Algorithms Male Human Male ab: Background: In the three-dimensional kinematic analysis of the trunk during human locomotion, a multi-segmental rigid-body model would be a better representation for the trunk compared with a single rigid-body model with regard to goodness-of-fit. However, there is a trade-off between data fitting and the simplicity of the model.Research Question: This study aimed to determine the optimal number of rigid-body segments during walking and running using Akaike's information criterion (AIC), which determines the model that has goodness-of-fit and is generalizable.Methods: Empirically obtained kinematic data for the trunk during walking and running were fitted by one-, two-, three-, and six-linked rigid-body models using a nonlinear optimization algorithm. The relative quality of these models was assessed using their bias-corrected AIC (AICc) value.Results: The AICc values of two- and three-linked rigid-body models were significantly smaller than those of one- or six-segment models for the walking trial. For the running trial, the AICc values of two-, three-, and six-segment models were significantly smaller than that of the single rigid-body model.Discussion: These results suggest that both two- and three-linked rigid-body models would be better than the one- and six-linked rigid-body representations for analyzing trunk movement during walking, whereas the two-, three-, and six-linked models would be comparably well-balanced models in terms of both the goodness-of-fit and generalizability for running analysis. pubtype: Academic Journal doctype: equations & formulas research Journal Article ougenre: Article language: English refInfo: holdings: @attributes: islocal: N |
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