dc.contributor.author | Lukšys, Donatas | |
dc.contributor.author | Jatužis, Dalius | |
dc.contributor.author | Jonaitis, Gintaras | |
dc.contributor.author | Griškevičius, Julius | |
dc.date.accessioned | 2023-09-18T20:43:05Z | |
dc.date.available | 2023-09-18T20:43:05Z | |
dc.date.issued | 2021 | |
dc.identifier.issn | 1746-8094 | |
dc.identifier.uri | https://etalpykla.vilniustech.lt/handle/123456789/151972 | |
dc.description.abstract | Continuous relative phase (CRP) is a measure of coordination between two joints, and CRP based analysis is being used to characterise joint or segmental coordination during gait. Postural instability or balancing issue is one of the major motor symptoms of Parkinson’s Disease (PD). This study aimed to use CRP variables to distinguish between PD, healthy control (CO) groups, and PD groups divided according to clinical evaluations. The subjects were separated into two groups: healthy controls and Parkinson’s disease subjects. Additionally, the PD group was subdivided according to the unified Parkinson disease rating scale (UPDRS) scores: UPDRS 0 and UPDRS 1. Each subject performed the designated walking motor task three times. Four inertial measurement units (IMU) were used to measure movement of the lower limbs. Statistically significant differences in CRP mean, deviation phase (DP), and root mean square CRP (CRPRMS) were found for PD vs CO (right stance, right swing, right mid-stance) and UPDRS 0 vs UPDRS 1 (right stride, left stride, right swing). CRP can be used to separate PD and CO groups, and groups subdivided based on UPDRS score. | eng |
dc.format | PDF | |
dc.format.extent | p. [1-5] | |
dc.format.medium | tekstas / txt | |
dc.language.iso | eng | |
dc.relation.isreferencedby | Science Citation Index Expanded (Web of Science) | |
dc.relation.isreferencedby | Scopus | |
dc.relation.isreferencedby | Current Contents / Engineering, Computing & Technology | |
dc.relation.isreferencedby | Elsevier Biobase | |
dc.relation.isreferencedby | Embase | |
dc.rights | Laisvai prieinamas internete | |
dc.source.uri | https://talpykla.elaba.lt/elaba-fedora/objects/elaba:88454714/datastreams/MAIN/content | |
dc.title | Application of continuous relative phase analysis for differentiation of gait in neurodegenerative disease | |
dc.type | Straipsnis Web of Science DB / Article in Web of Science DB | |
dcterms.license | Creative Commons – Attribution – 4.0 International | |
dcterms.references | 24 | |
dc.type.pubtype | S1 - Straipsnis Web of Science DB / Web of Science DB article | |
dc.contributor.institution | Vilniaus Gedimino technikos universitetas | |
dc.contributor.institution | Vilniaus universitetas | |
dc.contributor.faculty | Mechanikos fakultetas / Faculty of Mechanics | |
dc.subject.researchfield | M 001 - Medicina / Medicine | |
dc.subject.researchfield | T 009 - Mechanikos inžinerija / Mechanical enginering | |
dc.subject.studydirection | G01 - Medicina / Medicine | |
dc.subject.vgtuprioritizedfields | MC0404 - Bionika ir biomedicinos inžinerinės sistemos / Bionics and Biomedical Engineering Systems | |
dc.subject.ltspecializations | L105 - Sveikatos technologijos ir biotechnologijos / Health technologies and biotechnologies | |
dc.subject.en | Lower extremity | |
dc.subject.en | gait | |
dc.subject.en | IMU | |
dc.subject.en | Parkinson disease | |
dc.subject.en | Continuous relative phase (CRP) | |
dcterms.sourcetitle | Biomedical signal processing and control | |
dc.description.volume | vol. 67 | |
dc.publisher.name | Elsevier | |
dc.publisher.city | Oxford | |
dc.identifier.doi | 000640912500008 | |
dc.identifier.doi | 10.1016/j.bspc.2021.102558 | |
dc.identifier.elaba | 88454714 | |