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dc.contributor.authorDaunoravičienė, Kristina
dc.contributor.authorŽižienė, Jurgita
dc.contributor.authorOvčinikova, Agnė
dc.contributor.authorKizlaitienė, Rasa
dc.contributor.authorGriškevičius, Julius
dc.date.accessioned2023-09-18T20:30:08Z
dc.date.available2023-09-18T20:30:08Z
dc.date.issued2020
dc.identifier.issn0928-7329
dc.identifier.urihttps://etalpykla.vilniustech.lt/handle/123456789/150480
dc.description.abstractBACKGROUND: A lack of movement coordination characterized by the undershoot or overshoot of the intended location with the hand, arm, or leg is often found in individuals with multiple sclerosis (MS). Standardized as Finger-to-Nose (FNT) and The Heel-to-Shin (HST) tests are the most frequently used tests for qualitative examination of upper and lower body coordination. Inertial sensors facilitate in performing quantitative motion analysis and by estimating body symmetry more accurately assess coordination lesion and imbalance. OBJECTIVES: To assess the body symmetry of upper and lower limbs quantitatively, and to find the best body symmetry indices to discriminate MS from healthy individuals (CO). METHODS: 28 MS patients and 23 CO participated in the study. Spatiotemporal parameters obtained from six Inertial Measurement Units (IMUs) were placed on the upper and lower extremities during FNT and HST tests. All data were analyzed using statistical methods in MATLAB. RESULTS: Asymmetry indices of temporal parameters showed a significant increase in upper body and lower body asymmetry of MS compared to CO. However, CO have a greater kinematic asymmetry compared to MS.eng
dc.formatPDF
dc.format.extentp. 573-584
dc.format.mediumtekstas / txt
dc.language.isoeng
dc.relation.isreferencedbyScopus
dc.relation.isreferencedbyScience Citation Index Expanded (Web of Science)
dc.relation.isreferencedbySocial Sciences Citation Index (Web of Science)
dc.source.urihttps://content.iospress.com/download/technology-and-health-care/thc208003?id=technology-and-health-care%2Fthc208003
dc.source.urihttps://content.iospress.com/articles/technology-and-health-care/thc208003
dc.titleQuantitative body symmetry assessment during neurological examination
dc.typeStraipsnis Web of Science DB / Article in Web of Science DB
dcterms.accessRightsThis special section in Technology and Health Care contains a collection of selected papers from the 13th International Conference BIOMDLORE 2021, which was planned to be held in October 2020, however due to the worldwide COVID-19 pandemic, the conference was postponed to the year 2021.
dcterms.references46
dc.type.pubtypeS1 - Straipsnis Web of Science DB / Web of Science DB article
dc.contributor.institutionVilniaus Gedimino technikos universitetas
dc.contributor.institutionVilniaus universiteto ligoninė Santaros klinikos
dc.contributor.institutionVilniaus universitetas
dc.contributor.facultyMechanikos fakultetas / Faculty of Mechanics
dc.subject.researchfieldT 009 - Mechanikos inžinerija / Mechanical enginering
dc.subject.researchfieldM 001 - Medicina / Medicine
dc.subject.vgtuprioritizedfieldsMC0404 - Bionika ir biomedicinos inžinerinės sistemos / Bionics and Biomedical Engineering Systems
dc.subject.ltspecializationsL105 - Sveikatos technologijos ir biotechnologijos / Health technologies and biotechnologies
dc.subject.enbody symmetry
dc.subject.endamaged limb asymmetry
dc.subject.ensymmetry index
dc.subject.enmultiple sclerosis
dc.subject.eninertial sensors
dcterms.sourcetitleTechnology and health care
dc.description.issueiss. 5
dc.description.volumevol. 28
dc.publisher.nameIOS Press
dc.publisher.cityAmsterdam
dc.identifier.doi000574510800012
dc.identifier.doi10.3233/THC-208003
dc.identifier.elaba67717806


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