Bioengineering (Basel, Switzerland) · 2025
Joint Kinematics and Gait Pattern in Multiple Sclerosis: A 3D Analysis Comparative Approach.
СтатьяНазвание и аннотация: Перевод в очереди
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Rosulescu Radu, Marin Mihnea Ion, Albu Elena, Albu Bogdan Cristian, Neamtu Marius Cristian, Rosulescu Eugenia
Аннотация
UNLABELLED: This cross-sectional study analyzed the lower limb (LL) behavior in terms of gait asymmetry and joints' kinematic parameters, comparing people with multiple sclerosis (pwMS) and unaffected individuals.
METHODS: Data from 15 patients, EDSS ≤ 4.5, and 15 healthy control volunteers were gathered. The VICON Motion Capture System (14 infrared cameras), NEXUS software, Plug-in-Gait skeleton model and reflective markers were used to collect data for each subject during five gait cycles on a plane surface. Biomechanical analysis included evaluation of LL joints' range of motion (ROM) bilaterally, as well as movement symmetry.
RESULTS: Comparative biomechanical analysis revealed a hierarchy of vulnerability between the groups: the ankle is the most affected joint in pwMS (p = 0.008-0.014), the knee is moderately affected (p = 0.015 in swing phase), and the hip is the least affected (p > 0.05 in all phases). The swing phase showed the most significant left-right asymmetry impairment, as reflected by root mean square error (RMSE) values: swing-phase RMSE = 9.306 ± 4.635 (higher and more variable) versus stance-phase RMSE = 6.363 ± 2.306 (lower and more consistent).
CONCLUSIONS: MS does not affect the joints structurally; rather, it eliminates the ability to differentiate the fine-tuning control between them. The absence of significant left-right joint asymmetry differences during complete gait cycle indicates dysfunction in the global motor control.
METHODS: Data from 15 patients, EDSS ≤ 4.5, and 15 healthy control volunteers were gathered. The VICON Motion Capture System (14 infrared cameras), NEXUS software, Plug-in-Gait skeleton model and reflective markers were used to collect data for each subject during five gait cycles on a plane surface. Biomechanical analysis included evaluation of LL joints' range of motion (ROM) bilaterally, as well as movement symmetry.
RESULTS: Comparative biomechanical analysis revealed a hierarchy of vulnerability between the groups: the ankle is the most affected joint in pwMS (p = 0.008-0.014), the knee is moderately affected (p = 0.015 in swing phase), and the hip is the least affected (p > 0.05 in all phases). The swing phase showed the most significant left-right asymmetry impairment, as reflected by root mean square error (RMSE) values: swing-phase RMSE = 9.306 ± 4.635 (higher and more variable) versus stance-phase RMSE = 6.363 ± 2.306 (lower and more consistent).
CONCLUSIONS: MS does not affect the joints structurally; rather, it eliminates the ability to differentiate the fine-tuning control between them. The absence of significant left-right joint asymmetry differences during complete gait cycle indicates dysfunction in the global motor control.