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Biomechanical assessment methods used in chronic stroke: A scoping review of non-linear approaches

dc.contributor.authorFreitas, Marta
dc.contributor.authorPinho, Francisco
dc.contributor.authorPinho, Liliana
dc.contributor.authorSilva, Sandra
dc.contributor.authorFigueira, Vânia
dc.contributor.authorVilas-Boas, João Paulo
dc.contributor.authorSilva, Augusta
dc.date.accessioned2024-10-24T13:28:01Z
dc.date.available2024-10-24T13:28:01Z
dc.date.issued2024-04-06
dc.description.abstractNon-linear and dynamic systems analysis of human movement has recently become increasingly widespread with the intention of better reflecting how complexity affects the adaptability of motor systems, especially after a stroke. The main objective of this scoping review was to summarize the non-linear measures used in the analysis of kinetic, kinematic, and EMG data of human movement after stroke. PRISMA-ScR guidelines were followed, establishing the eligibility criteria, the population, the concept, and the contextual framework. The examined studies were published between 1 January 2013 and 12 April 2023, in English or Portuguese, and were indexed in the databases selected for this research: PubMed®, Web of Science®, Institute of Electrical and Electronics Engineers®, Science Direct® and Google Scholar®. In total, 14 of the 763 articles met the inclusion criteria. The non-linear measures identified included entropy (n = 11), fractal analysis (n = 1), the short-term local divergence exponent (n = 1), the maximum Floquet multiplier (n = 1), and the Lyapunov exponent (n = 1). These studies focused on different motor tasks: reaching to grasp (n = 2), reaching to point (n = 1), arm tracking (n = 2), elbow flexion (n = 5), elbow extension (n = 1), wrist and finger extension upward (lifting) (n = 1), knee extension (n = 1), and walking (n = 4). When studying the complexity of human movement in chronic post-stroke adults, entropy measures, particularly sample entropy, were preferred. Kinematic assessment was mainly performed using motion capture systems, with a focus on joint angles of the upper limbs.pt_PT
dc.description.versioninfo:eu-repo/semantics/publishedVersionpt_PT
dc.identifier.citationFreitas, M., Pinho, F., Pinho, L., Silva, S., Figueira, V., Vilas-Boas, J. P., & Silva, A. (2024). Biomechanical assessment methods used in chronic stroke: A scoping review of non-linear approaches. Sensors, 24(7), Artigo 7. https://doi.org/10.3390/s24072338pt_PT
dc.identifier.doi10.3390/s24072338pt_PT
dc.identifier.eissn1424-8220
dc.identifier.urihttp://hdl.handle.net/10400.22/26266
dc.language.isoengpt_PT
dc.peerreviewedyespt_PT
dc.publisherMDPIpt_PT
dc.relation.publisherversionhttps://www.mdpi.com/1424-8220/24/7/2338pt_PT
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/pt_PT
dc.subjectChronic strokept_PT
dc.subjectAssessmentpt_PT
dc.subjectNon-linearpt_PT
dc.subjectkineticpt_PT
dc.subjectkinematicpt_PT
dc.subjectEMGpt_PT
dc.titleBiomechanical assessment methods used in chronic stroke: A scoping review of non-linear approachespt_PT
dc.typejournal article
dspace.entity.typePublication
oaire.citation.titleSensorspt_PT
oaire.citation.volume24 (7)pt_PT
person.familyNameNicolau Gonçalves de Freitas
person.familyNameFerreira Silva
person.givenNameMarta Sofia
person.givenNameMaria Augusta
person.identifier1087589
person.identifier.ciencia-id1C1D-EBDF-411F
person.identifier.ciencia-idCE18-7090-9C5E
person.identifier.orcid0000-0002-6325-6412
person.identifier.orcid0000-0001-5018-6905
person.identifier.scopus-author-id24482045400
rcaap.rightsopenAccesspt_PT
rcaap.typearticlept_PT
relation.isAuthorOfPublication8dd67420-2dee-46b0-984b-24aace75aa6e
relation.isAuthorOfPublicationedfc4f79-82b7-4669-8fa1-220cc20aa495
relation.isAuthorOfPublication.latestForDiscovery8dd67420-2dee-46b0-984b-24aace75aa6e

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