Quantification of multi-segment trunk kinetics during multi-directional trunk bending.
Background: Motion assessment of the body's head-arms-trunk (HAT) using linked-segment models, along with an inverse dynamics approach, can enable in vivo estimations of inter-vertebral moments. However, this mathematical approach is prone to experimental errors because of inaccuracies in (i) kinema...
| Publicado en: | Gait & Posture Vol. 64; pp. 205 - 213 |
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| Autores principales: | , , , , |
| Formato: | research Journal Article |
| Publicado: |
Elsevier B.V.
Jul2018
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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=130500768&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 130500768 longDbName: CINAHL Complete uiTag: AN controlInfo: bkinfo: dissinfo: jinfo: jid: 09666362 3L6 jtl: Gait & Posture issn: 09666362 maglogo: N pubinfo: dt: Jul2018 vid: 64 pid: 1004 pub: Elsevier B.V. artinfo: ui: 130500768 130500768 NLM29933183 130500768 10.1016/j.gaitpost.2018.06.027 NLM29933183 130500768 ppf: 205 ppct: 8 formats: tig: atl: Quantification of multi-segment trunk kinetics during multi-directional trunk bending. aug: au: Noamani, Alireza Vette, Albert H. Preuss, Richard Popovic, Milos R. Rouhani, Hossein affil: Department of Mechanical Engineering, University of Alberta, Donadeo Innovation Centre for Engineering, Edmonton, Alberta, T6G 1H9, Canada sug: subj: Torso Physiology Range of Motion Physiology Spine Physiology Imaging, Three-Dimensional Methods Human Kinematics Physiology Male Adult Female Kinetics Validation Studies Comparative Studies Evaluation Research Multicenter Studies Adult: 19-44 years Male Female ab: Background: Motion assessment of the body's head-arms-trunk (HAT) using linked-segment models, along with an inverse dynamics approach, can enable in vivo estimations of inter-vertebral moments. However, this mathematical approach is prone to experimental errors because of inaccuracies in (i) kinematic measurements associated with soft tissue artifacts and (ii) estimating individual-specific body segment parameters (BSPs). The inaccuracy of the BSPs is particularly challenging for the multi-segment HAT due to high inter-participant variability in the HAT's BSPs and no study currently exists that can provide a less erroneous estimation of the joint moments along the spinal column.Research Question: This study characterized three-dimensional (3D) inter-segmental moments in a multi-segment HAT model during multi-directional trunk-bending, after minimizing the experimental errors.Method: Eleven healthy individuals participated in a multi-directional trunk-bending experiment in five directions with three speeds. A seven-segment HAT model was reconstructed for each participant, and its motion was recorded. After compensating for experimental errors due to soft tissue artifacts, and using optimized individual-specific BSPs, and center of pressure offsets, the inter-segmental moments were calculated via inverse dynamics.Results: Our results show a significant effect of the inter-segmental level and trunk-bending directions on the obtained moments. Compensating for soft tissue artifacts contributed significantly to reducing errors. Our results indicate complex, task-specific patterns of the 3D moments, with high inter-participant variability at different inter-segmental levels, which cannot be studied using single-segment models or without error compensation.Significance: Interpretation of inter-segmental moments after compensation of experimental errors is important for clinical evaluations and developing injury prevention and rehabilitation strategies. pubtype: Academic Journal doctype: research Journal Article ougenre: Article language: English refInfo: holdings: @attributes: islocal: N |
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