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Methodological procedures for non-linear analyses of physiological and behavioural data in football

2022Book part Open access
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dc.contributor.authorTeixeira, José Eduardo
dc.contributor.authorForte, Pedro
dc.contributor.authorFerraz, Ricardo
dc.contributor.authorBranquinho, Luís
dc.contributor.authorSilva, A.J.
dc.contributor.authorBarbosa, Tiago M.
dc.contributor.authorMonteiro, A.M.
dc.date.accessioned2022-03-07T10:05:53Z
dc.date.available2022-03-07T10:05:53Z
dc.date.issued2022
dc.description.abstractComplex and dynamic systems are characterised by emergent behaviour, self-similarity, self-organisation and a chaotic component. In team sports as football, complexity and non-linear dynamics includes understanding the mechanisms underlying human movement and collective behaviour. Linear systems approaches in this kind of sports may limit performance understanding due to the fact that small changes in the inputs may not represent proportional and quantifiable changes in the output. Thus, non-linear approaches have been applied to assess training and match outcomes in football. The increasing access to wearable and tracking technology provides large datasets, enabling the analyses of time-series related to different performance indicators such as physiological and positional parameters. However, it is important to frame the theoretical concepts, mathematical models and procedures to determine metrics with physiological and behavioural significance. Additionally, physiological and behavioural data should be considered to determine the complexity and non-linearity of the system in football. Thus, the current chapter summarises the main methodological procedures to extract positional data using non-linear analyses such as entropy scales, relative phase transforms, non-linear indexes, cross correlation, fractals and clustering methods.pt_PT
dc.description.sponsorshipThis research was supported by Portuguese Foundation for Science and Technology, I.P. (project UIDB04045/2021).pt_PT
dc.description.versioninfo:eu-repo/semantics/publishedVersionpt_PT
dc.identifier.citationTeixeira, J.E.; Forte, Pedro; Ferraz, R.; Branquinho, Luís; Silva, A.J.; Barbosa, Tiago M.; Monteiro, A.M. (2022). Methodological procedures for non-linear analyses of physiological and behavioural data in football. In Exercise Physiology. London: IntechOpen. p. 1-25.pt_PT
dc.identifier.doi10.5772/intechopen.102577pt_PT
dc.identifier.urihttp://hdl.handle.net/10198/25177
dc.language.isoengpt_PT
dc.peerreviewedyespt_PT
dc.publisherIntechOpenpt_PT
dc.relationUIDB/04045/2021pt_PT
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/pt_PT
dc.subjectComplex systemspt_PT
dc.subjectPositioningpt_PT
dc.subjectPhysiologypt_PT
dc.subjectPerformance analysispt_PT
dc.subjectSoccerpt_PT
dc.titleMethodological procedures for non-linear analyses of physiological and behavioural data in footballpt_PT
dc.typebook part
dspace.entity.typePublication
oaire.citation.conferencePlaceLondonpt_PT
oaire.citation.endPage25pt_PT
oaire.citation.startPage1pt_PT
oaire.citation.titleExercise Physiologypt_PT
person.familyNamede Araújo Teixeria
person.familyNameMiguel Forte
person.familyNameBarbosa
person.familyNameMonteiro
person.givenNameJosé Eduardo
person.givenNamePedro
person.givenNameTiago M.
person.givenNameA. M.
person.identifier.ciencia-idD11C-9591-7A8A
person.identifier.ciencia-id351B-B16B-79C7
person.identifier.ciencia-id8B11-BDC4-F6FF
person.identifier.ciencia-idC41C-6CCD-A1F0
person.identifier.orcid0000-0003-4612-3623
person.identifier.orcid0000-0003-0184-6780
person.identifier.orcid0000-0001-7071-2116
person.identifier.orcid0000-0003-4467-1722
person.identifier.scopus-author-id10044856400
rcaap.rightsopenAccesspt_PT
rcaap.typebookPartpt_PT
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relation.isAuthorOfPublication3ecc6d1b-07a4-40d7-81f4-df6fd7b3d5b0
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