Measurement error associated with gait cycle selection in treadmill running at various speeds.


Journal

PeerJ
ISSN: 2167-8359
Titre abrégé: PeerJ
Pays: United States
ID NLM: 101603425

Informations de publication

Date de publication:
2023
Historique:
received: 15 08 2022
accepted: 27 01 2023
entrez: 23 3 2023
pubmed: 24 3 2023
medline: 25 3 2023
Statut: epublish

Résumé

A common approach in the biomechanical analysis of running technique is to average data from several gait cycles to compute a 'representative mean.' However, the impact of the quantity and selection of gait cycles on biomechanical measures is not well understood. We examined the effects of gait cycle selection on kinematic data by: (i) comparing representative means calculated from varying numbers of gait cycles to 'global' means from the entire capture period; and (ii) comparing representative means from varying numbers of gait cycles sampled from different parts of the capture period. We used a public dataset (

Identifiants

pubmed: 36949756
doi: 10.7717/peerj.14921
pii: 14921
pmc: PMC10026719
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

e14921

Informations de copyright

©2023 Fox et al.

Déclaration de conflit d'intérêts

The authors declare there are no competing interests.

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Auteurs

Aaron S Fox (AS)

Centre for Sport Research, School of Exercise and Nutrition Sciences, Deakin University, Geelong, Victoria, Australia.

Jason Bonacci (J)

Centre for Sport Research, School of Exercise and Nutrition Sciences, Deakin University, Geelong, Victoria, Australia.

John Warmenhoven (J)

University of Canberra Research Institute of Sport & Exercise (UCRISE), University of Canberra, Canberra, Australia.
Research & Enterprise, University of Canberra, Canberra, Australia.

Meghan F Keast (MF)

Centre for Sport Research, School of Exercise and Nutrition Sciences, Deakin University, Geelong, Victoria, Australia.

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