A nonlinear dynamics of trunk kinematics during manual lifting tasks.
BACKGROUND: Human responses at work may exhibit nonlinear properties where small changes in the initial task conditions can lead to large changes in system behavior. Therefore, it is important to study such nonlinearity to gain a better understanding of human performance under a variety of physical,...
| Publicado en: | Work Vol. 51; no. 3; pp. 423 - 438 |
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| Autores principales: | , , |
| Formato: | equations & formulas research tables/charts Journal Article |
| Publicado: |
Sage Publications Inc.
2015
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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=109836046&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 109836046 longDbName: CINAHL Complete uiTag: AN controlInfo: bkinfo: dissinfo: jinfo: jid: 10519815 3RC jtl: Work issn: 10519815 maglogo: N pubinfo: dt: 2015 vid: 51 iid: 3 pid: 344 pub: Sage Publications Inc. place: Thousand Oaks, California artinfo: ui: 109836046 109081536 10.3233/WOR-141880 109836046 ppf: 423 ppct: 15 formats: fmt: @attributes: type: P tig: atl: A nonlinear dynamics of trunk kinematics during manual lifting tasks. aug: au: Khalaf, Tamer Karwowski, Waldemar Sapkota, Nabin affil: Industrial Engineering Department, College of Engineering, King Saud University, Riyadh, Saudi Arabia; Department of Mechanical Engineering, College of Engineering, Al-Azhar University, Nasr City, Cairo, Egypt sug: subj: Lifting Kinematics Chaos Theory Task Performance and Analysis Human Female Male Experimental Studies Repeated Measures Analysis of Variance Female Male ab: BACKGROUND: Human responses at work may exhibit nonlinear properties where small changes in the initial task conditions can lead to large changes in system behavior. Therefore, it is important to study such nonlinearity to gain a better understanding of human performance under a variety of physical, perceptual, and cognitive tasks conditions. OBJECTIVE: The main objective of this study was to investigate whether the human trunk kinematics data during a manual lifting task exhibits nonlinear behavior in terms of determinist chaos. METHODS: Data related to kinematics of the trunk with respect to the pelvis were collected using Industrial Lumbar Motion Monitor (ILMM), and analyzed applying the nonlinear dynamical systems methodology. Nonlinear dynamics quantifiers of Lyapunov exponents and Kaplan-Yorke dimensions were calculated and analyzed under different task conditions. RESULTS: The study showed that human trunk kinematics during manual lifting exhibits chaotic behavior in terms of trunk sagittal angular displacement, velocity and acceleration. CONCLUSIONS: The findings support the importance of accounting for nonlinear dynamical properties of biomechanical responses to lifting tasks. pubtype: Academic Journal doctype: equations & formulas research tables/charts Journal Article ougenre: Article language: English refInfo: holdings: @attributes: islocal: N |
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