The Application of non-linear methods to quantify changes to movement dynamics during running: A scoping review.


Journal

Journal of sports sciences
ISSN: 1466-447X
Titre abrégé: J Sports Sci
Pays: England
ID NLM: 8405364

Informations de publication

Date de publication:
Mar 2023
Historique:
medline: 12 7 2023
pubmed: 18 6 2023
entrez: 18 6 2023
Statut: ppublish

Résumé

The aim of this scoping review was to evaluate research approaches that quantify changes to non-linear movement dynamics during running in response to fatigue, different speeds, and fitness levels. PubMed and Scopus were used to identify appropriate research articles. After the selection of eligible studies, study details and participant characteristics were extracted and tabulated to identify methodologies and findings. Twenty-seven articles were included in the final analysis. To evaluate non-linearities in the time series, a range of approaches were identified including motion capture, accelerometery, and foot switches. Common methods of analysis included measures of fractal scaling, entropy, and local dynamic stability. Conflicting findings were evident when studies examined non-linear features in fatigued states when compared to non-fatigued. More pronounced alterations to movement dynamics are evident when running speed is changed markedly. Greater fitness levels resulted in more stable and predictable running patterns. The mechanisms by which these changes are underpinned require further examination. These could include the physiological demand of running, biomechanical constraints of the runner, and the attentional demands of the task. Moreover, the practical implications are yet to be elucidated. This review has identified gaps in the literature which should be addressed for further understanding of the field.

Identifiants

pubmed: 37330658
doi: 10.1080/02640414.2023.2225014
doi:

Types de publication

Journal Article Review

Langues

eng

Sous-ensembles de citation

IM

Pagination

481-494

Auteurs

Ben Hunter (B)

School of Life and Medical Sciences, University of Hertfordshire, Hatfield, UK.
School of Human Sciences, London Metropolitan University, London, UK.

Bettina Karsten (B)

EUFH, Hochschule für Gesundheit, Soziales und Pädagogik, Berlin, Germany.

Andrew Greenhalgh (A)

School of Life and Medical Sciences, University of Hertfordshire, Hatfield, UK.

Mark Burnley (M)

School of Sport, Exercise and Health Sciences, Loughborough University, Loughborough,UK.

Daniel Muniz-Pumares (D)

School of Life and Medical Sciences, University of Hertfordshire, Hatfield, UK.

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Classifications MeSH