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dc.contributor.authorLamb, Peter
dc.contributor.authorStöckl, Michael
dc.contributor.editorLames, Martin
dc.contributor.editorSaupe, Dietmar
dc.contributor.editorWiemeyer, Josef
dc.date.available2018-11-29T22:18:48Z
dc.date.copyright2018
dc.identifier.citationLamb, P., & Stöckl, M. (2018). Gait stability during shod and barefoot walking and running on a treadmill assessed by correlation entropy. In M. Lames, D. Saupe, & J. Wiemeyer (Eds.), Proceedings of the 11th International Symposium on Computer Science in Sport (pp. 48–56). Advances in Intelligent Systems and Computing presented at the International Symposium on Computer Science in Sport, Springer.en
dc.identifier.urihttp://hdl.handle.net/10523/8695
dc.description.abstractThis study tests correlation entropy, 𝐾2, as a measure of stability for gait analysis. An average of 13 strides from 10 participants in each combination of one footwear (barefoot vs shod) condition and one gait mode (walking vs running) were collected during treadmill walking and running. Sagittal plane ankle, knee and hip angular displacement and velocity data were used for analysis. Two-way repeated measures ANOVA showed a main effect for gait mode ( 𝑝=.03 ) – running had lower 𝐾2 than walking, indicating higher stability. Although the sample of strides and participants was small, we speculate that the greater inertia for running helped stabilize movement control, making the running coordination pattern more resilient against small stride-to-stride perturbations.en_NZ
dc.format.mimetypeapplication/pdf
dc.language.isoenen_NZ
dc.publisherSpringeren_NZ
dc.relation.ispartofProceedings of the 11th International Symposium on Computer Science in Sporten_NZ
dc.relation.ispartofseriesAdvances in Intelligent Systems and Computingen_NZ
dc.relation.urihttps://link.springer.com/chapter/10.1007/978-3-319-67846-7_5en_NZ
dc.subjectCorrelation entropyen_NZ
dc.subjectGaiten_NZ
dc.subjectBiomechanicsen_NZ
dc.subjectDynamical systemsen_NZ
dc.titleGait stability during shod and barefoot walking and running on a treadmill assessed by correlation entropyen_NZ
dc.typeConference or Workshop Item (Paper published in proceedings)en_NZ
dc.date.updated2018-11-29T01:06:52Z
otago.schoolSchool of Physical Education, Sport and Exercise Sciencesen_NZ
otago.bitstream.endpage56en_NZ
otago.bitstream.startpage48en_NZ
otago.openaccessOpenen_NZ
dc.description.refereedPeer Revieweden_NZ
otago.event.placeKonstanz, Germanyen_NZ
otago.event.titleInternational Symposium on Computer Science in Sporten_NZ
otago.relation.number663en_NZ
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