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Nonlinear metrics assessing motor variability in a standardized pipetting task: Between- and within-subject variance components
Center for Sensory-Motor Interaction (SMI), Department of Health Science and Technology, Aalborg University, Denmark.
University of Gävle, Faculty of Health and Occupational Studies, Department of Occupational and Public Health Sciences. University of Gävle, Centre for Musculoskeletal Research.ORCID iD: 0000-0001-9327-6177
University of Gävle, Faculty of Health and Occupational Studies, Department of Occupational and Public Health Sciences. University of Gävle, Centre for Musculoskeletal Research.ORCID iD: 0000-0003-1443-6211
Center for Sensory-Motor Interaction (SMI), Department of Health Science and Technology, Aalborg University, Denmark.
2015 (English)In: Journal of Electromyography & Kinesiology, ISSN 1050-6411, E-ISSN 1873-5711, Vol. 25, no 3, 557-564 p.Article in journal (Refereed) Published
Abstract [en]

The aim of this study was to estimate the between days test-retest reliability of nonlinear metrics used to quantify motor variability in a repetitive precision task. On three separate days, 14 healthy subjects performed pipetting as a general model of repetitive precision tasks. The task consisted of transferring liquid 20 times with a cycle time of 2.8 s from a pickup tube to eight target tubes placed on a table in front of the subjects. The motion of hand, arm and the pipet tip was tracked in 3D and the shoulder elevation and elbow flexion angle were obtained. Motor variability was assessed using nonlinear metrics based on information theory and recurrence quantification analysis. Between- and within- (between-days) subject variance components were computed using a one-way random effect model, and intra-class correlation coefficients (ICC) were calculated from the variance components as standardized measures of reliability. Most of the metrics displayed a considerable between-days variance component and therefore the ICC showed a slight to moderate reliability. The reported data on between- and within-subject variability can be used to design future studies using non-linear motor variability metrics on kinematics data.

Place, publisher, year, edition, pages
2015. Vol. 25, no 3, 557-564 p.
Keyword [en]
Test-retest reliability, nonlinear dynamics, kinematics, entropy, recurrence quantification analysis
National Category
Environmental Health and Occupational Health
Identifiers
URN: urn:nbn:se:hig:diva-16472DOI: 10.1016/j.jelekin.2015.01.005ISI: 000354026200019PubMedID: 25681167Scopus ID: 2-s2.0-84929044835OAI: oai:DiVA.org:hig-16472DiVA: diva2:709305
Funder
Forte, Swedish Research Council for Health, Working Life and Welfare, 2009-1761, 2011-0075
Available from: 2014-04-01 Created: 2014-04-01 Last updated: 2016-01-11Bibliographically approved

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Srinivasan, DivyaMathiassen, Svend Erik
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