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A New Approach to Assess Quality of Motion in Functional Task of Upper Limb in Duchenne Muscular Dystrophy

Abstract

(1) Background: This study presents a new method for the motion quantitative analysis of Duchenne muscular dystrophy patients (DMD) performing functional tasks in clinical conditions. (2) Methods: An experimental study was designed to define how different levels of external mass (light and heavy) influence the performance of the upper limbs of a tested DMD and reference subject (RS) during horizontal movements (level of the waist) under natural conditions (NC) and passive manipulator conditions (PMC); the kinematic data and muscle activity of four chosen superficial muscles (EMG) were recorded. (3) Results: A piecewise linear multi-regression analysis revealed high statistically significant results (R2 ≥ 0.75) between the tested muscle activities and kinematic data in the tested DMD patient and RS. These results were used to define whether the neural control of the four tested muscles (processed EMG data) was correlated more with the displacement of the wrist joint or the center of mass of the tested upper limb while performing functional tests with a given external weight in a horizontal plane under NC or PMC. (4) Conclusions: The proposed approach can be used to estimate the contributions of the tested muscles to patients’ motion performance and define whether this contribution is correlated with the kinematics or dynamics of the tested arm

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Keywords

Details

Category:
Articles
Type:
artykuły w czasopismach
Published in:
Applied Sciences-Basel no. 12,
ISSN: 2076-3417
Language:
English
Publication year:
2022
Bibliographic description:
Wojnicz W., Sobierajska-Rek A., Zagrodny B., Ludwicki M., Jabłońska-Brudło J., Forysiak K.: A New Approach to Assess Quality of Motion in Functional Task of Upper Limb in Duchenne Muscular Dystrophy// Applied Sciences-Basel -,iss. 12/23 (2022), s.1-16
DOI:
Digital Object Identifier (open in new tab) 10.3390/app122312247
Sources of funding:
  • Statutory activity/subsidy
Verified by:
Gdańsk University of Technology

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