Kinematični parametri roke kot kvantitativni označevalci invalidnosti in kognicije pri multipli sklerozi

Zajc, Žan (author), Bizjak, Žiga (author), Brecl Jakob, Gregor (author), Bürmen, Miran (author)

Neurological diseases such as multiple sclerosis (MS) frequently lead to impairments in fine motor function, highlighting the need for objective assessment methods. In this study, we developed a stereo-visual hand-tracking system that enables 3D reconstruction of the trajectories of 21 anatomical landmarks of the hand during the Nine-Hole Peg Test (NHPT). Based on the reconstructed movements, kinematic parameters were computed and clinically evaluated in a cohort of 162 patients with MS by analyzing their associations with the Expanded Disability Status Scale (EDSS) and the CogEval cognitive assessment. Higher neurological disability was most strongly associated with prolonged NHPT completion time and with altered thumb movement patterns, characterized by increased movement linearity and reduced jerkiness. With respect to cognitive status, task execution speed emerged as the key contributing factor. The proposed approach is non-invasive and cost-effective, providing a detailed insight into movement quality and representing a promising tool for the objective and scalable monitoring of motor changes in MS.

• Language: English
• Keywords: stereo video analysis, hand kinematics, anatomical landmark, tracking, fine motor skill assessment, multiple sclerosis, clinical assessment, digital biomarkers
• Typology: 1.09 - Published Professional Conference Contribution
• Organization: FE - Faculty of Electrical Engineering
• Publication status: Published
• Publication version: Version of Record
• Year: 2026
• Number of pages: Str. 37-48
• PID: 20.500.12556/RUL-182888
• UDC: 616.832-004.2:616.8-009.18
• DOI: 10.18690/um.feri.4.2026.4
• COBISS.SI-ID: 279499011
• Publication date in RUL: 27.05.2026

Record is a part of a monograph

• Title: ROSUS 2026 : računalniška obdelava slik in njena uporaba v Sloveniji 2026
• Editors: Božidar Potočnik
• Place of publishing: Maribor
• Publisher: Univerza v Mariboru, Univerzitetna založba, Fakulteta za elektrotehniko, računalništvo in informatiko
• Year: 2026
• ISBN: 978-961-299-111-1
• COBISS.SI-ID: 270650883

Licences

• License: CC BY-SA 4.0, Creative Commons Attribution-ShareAlike 4.0 International
• Link: http://creativecommons.org/licenses/by-sa/4.0/
• Description: This Creative Commons license is very similar to the regular Attribution license, but requires the release of all derivative works under this same license.

Secondary language

• Language: Slovenian
• Title: Kinematic parameters of hand as quantitative markers of disability and cognition in multiple sclerosis

Abstract

Nevrološke bolezni, kot je multipla skleroza (MS), pogosto povzročajo motnje fine motorike, zato so potrebne objektivne metode za njihovo ocenjevanje. V tej študiji smo razvili stereovizualni sistem za sledenje dlani, ki omogoča 3D rekonstrukcijo trajektorij 21 anatomskih točk roke med izvajanjem testa devetih zatičev (NHPT). Na podlagi rekonstruiranih gibanj smo izračunali kinematične parametre in jih klinično ovrednotili na vzorcu 162 bolnikov z MS z analizo povezav z razširjeno lestvico prizadetosti (EDSS) in kognitivno oceno CogEval. Rezultati so pokazali, da je višja stopnja nevrološke prizadetosti najmočneje povezana s podaljšanim časom izvedbe NHPT ter s spremenjenimi gibalnimi vzorci palca, kot sta večja linearnost in manjša sunkovitost gibanja. Pri kognitivnem statusu se je kot ključni dejavnik izkazala hitrost izvedbe naloge. Predlagani pristop je neinvaziven in cenovno dostopen ter omogoča poglobljen vpogled v kakovost gibanja, kar predstavlja obetavno orodje za objektivno in skalabilno spremljanje motoričnih sprememb pri MS.

• Keywords: stereo video-analiza, kinematika roke, sledenje anatomskim točkam, ocena fine motorične sposobnosti, multipla skleroza, klinična ocena, digitalni biomarkerji

Projects

• Funder: ARIS - Slovenian Research and Innovation Agency
• Project number: P2-0232
• Name: Analiza biomedicinskih slik in signalov

• Funder: ARIS - Slovenian Research and Innovation Agency
• Project number: J2-70102
• Name: Smart NHPT: Razširitev motoričnih in kognitivnih ocen za natančno sledenje boleznim