Publication
Biomechanical assessment methods used in chronic stroke: A scoping review of non-linear approaches
dc.contributor.author | Freitas, Marta | |
dc.contributor.author | Pinho, Francisco | |
dc.contributor.author | Pinho, Liliana | |
dc.contributor.author | Silva, Sandra | |
dc.contributor.author | Figueira, Vânia | |
dc.contributor.author | Vilas-Boas, João Paulo | |
dc.contributor.author | Silva, Augusta | |
dc.date.accessioned | 2024-10-24T13:28:01Z | |
dc.date.available | 2024-10-24T13:28:01Z | |
dc.date.issued | 2024-04-06 | |
dc.description.abstract | Non-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.version | info:eu-repo/semantics/publishedVersion | pt_PT |
dc.identifier.citation | Freitas, 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/s24072338 | pt_PT |
dc.identifier.doi | 10.3390/s24072338 | pt_PT |
dc.identifier.eissn | 1424-8220 | |
dc.identifier.uri | http://hdl.handle.net/10400.22/26266 | |
dc.language.iso | eng | pt_PT |
dc.peerreviewed | yes | pt_PT |
dc.publisher | MDPI | pt_PT |
dc.relation.publisherversion | https://www.mdpi.com/1424-8220/24/7/2338 | pt_PT |
dc.rights.uri | http://creativecommons.org/licenses/by/4.0/ | pt_PT |
dc.subject | Chronic stroke | pt_PT |
dc.subject | Assessment | pt_PT |
dc.subject | Non-linear | pt_PT |
dc.subject | kinetic | pt_PT |
dc.subject | kinematic | pt_PT |
dc.subject | EMG | pt_PT |
dc.title | Biomechanical assessment methods used in chronic stroke: A scoping review of non-linear approaches | pt_PT |
dc.type | journal article | |
dspace.entity.type | Publication | |
oaire.citation.title | Sensors | pt_PT |
oaire.citation.volume | 24 (7) | pt_PT |
person.familyName | Nicolau Gonçalves de Freitas | |
person.familyName | Ferreira Silva | |
person.givenName | Marta Sofia | |
person.givenName | Maria Augusta | |
person.identifier | 1087589 | |
person.identifier.ciencia-id | 1C1D-EBDF-411F | |
person.identifier.ciencia-id | CE18-7090-9C5E | |
person.identifier.orcid | 0000-0002-6325-6412 | |
person.identifier.orcid | 0000-0001-5018-6905 | |
person.identifier.scopus-author-id | 24482045400 | |
rcaap.rights | openAccess | pt_PT |
rcaap.type | article | pt_PT |
relation.isAuthorOfPublication | 8dd67420-2dee-46b0-984b-24aace75aa6e | |
relation.isAuthorOfPublication | edfc4f79-82b7-4669-8fa1-220cc20aa495 | |
relation.isAuthorOfPublication.latestForDiscovery | 8dd67420-2dee-46b0-984b-24aace75aa6e |