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Muscle activity variability patterns and stride to stride fluctuations of older adults are positively correlated during walking

datacite.subject.fosCiências Médicas::Ciências da Saúde
datacite.subject.sdg03:Saúde de Qualidade
dc.contributor.authorJordão, Sofia
dc.contributor.authorStergiou, Nick
dc.contributor.authorBrandão, Rita
dc.contributor.authorPezarat-Correia, Pedro
dc.contributor.authorOliveira, Raúl
dc.contributor.authorCortes, Nelson
dc.contributor.authorVaz, João R.
dc.date.accessioned2026-03-06T12:26:48Z
dc.date.available2026-03-06T12:26:48Z
dc.date.issued2023-11
dc.description.abstractIt has been found that fractal-like patterns are present in the temporal structure of the variability of healthy biological rhythms, while pathology and disease lead to their deterioration. Interestingly, it has recently been suggested that these patterns in biological rhythms are related with each other, reflecting overall health or lack of it, due to their interaction. However, the underlying neurophysiological mechanisms responsible for such dependency remain unknown. In addition, this relationship between different elements needs to be first verified before we even pursue understanding their interaction. This study aimed to investigate the relationship between two elements of the neuromuscular system, gait and muscle activity variability patterns in older adults. Twenty-one older adults walked at their preferred walking speed on a treadmill. Inter-stride intervals were obtained through an accelerometer placed on the lateral malleoli to assess the temporal structure of variability of stride-to-stride fluctuations. Inter muscle peak intervals were obtained through the electromyographic signal of the gastrocnemius to assess the temporal structure of the variability of the simultaneous muscle activity. The temporal structure of variability from both signals was evaluated through the detrended fluctuation analysis, while their magnitude of variability was evaluated using the coefficient of variation. The Pearson’s Correlation coefficient was used to identify the relationship between the two dependent variables. A significant strong positive correlation was found between the temporal structure of gait and muscle activity patterns. This result suggests that there is an interdependency between biological rhythms that compose the human neuromuscular system.eng
dc.identifier.citationJordão, S., Stergiou, N., Brandão, R. et al. Muscle activity variability patterns and stride to stride fluctuations of older adults are positively correlated during walking. Sci Rep 13, 20721 (2023). https://doi.org/10.1038/s41598-023-47828-9
dc.identifier.doi10.1038/s41598-023-47828-9
dc.identifier.issn2045-2322
dc.identifier.urihttp://hdl.handle.net/10400.26/62008
dc.language.isoeng
dc.peerreviewedyes
dc.publisherSpringer Nature
dc.relation.hasversionhttps://doi.org/10.1038/s41598-023-47828-9
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/
dc.subjectAgeing
dc.subjectComplexity
dc.subjectDynamical systems
dc.subjectNeurophysiology
dc.subjectNonlinear dynamics
dc.subjectMuscle activity
dc.subjectvariability patterns
dc.subjectstride to stride fluctuations
dc.subjectolder adults
dc.subjectwalking
dc.titleMuscle activity variability patterns and stride to stride fluctuations of older adults are positively correlated during walkingeng
dc.typecontribution to journal
dspace.entity.typePublication
oaire.citation.startPage20721
oaire.citation.titleScientific Reports
oaire.citation.volume13
oaire.versionhttp://purl.org/coar/version/c_970fb48d4fbd8a85

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