Review of upper extremity passive joint impedance identification in people with Duchenne Muscular Dystrophy

Review (2025)
Authors

Suzanne Filius (TU Delft - Biomechatronics & Human-Machine Control)

Kyriacos Papa (TU Delft - Biomechatronics & Human-Machine Control)

Jaap Harlaar (Erasmus MC, TU Delft - Biomechatronics & Human-Machine Control)

Research Group
Biomechatronics & Human-Machine Control
To reference this document use:
https://doi.org/10.1186/s12984-024-01537-0
More Info
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Publication Year
2025
Language
English
Research Group
Biomechatronics & Human-Machine Control
Issue number
1
Volume number
22
DOI:
https://doi.org/10.1186/s12984-024-01537-0
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Abstract

Duchenne Muscular Dystrophy (DMD) progressively leads to loss of limb function due to muscle weakness. The incurable nature of the disease shifts the focus to improving quality of life, including assistive supports to improve arm function. Over time, the passive joint impedance (Jimp) of people with DMD increases. Force-based controlled motorised arm supports require a clear distinction between the user's movement intention and passive forces, such as passive Jimp. Therefore, Jimp identification is essential. This review aims to define Jimp, identify factors influencing it, and outline experimental methods used for quantification, with a focus on the upper extremities in DMD. A literature review was performed in May 2021 and updated in March 2024 using SCOPUS, PubMed, IEEEXplore, and WebOfScience. The results reveal confusion in definitions and show various Jimp measuring practices for both DMD and individuals without muscle weakness. This study presents an overview and lists important parameters affecting passive Jimp, such as the joint's position, velocity and the multi-articular nature of the upper arm muscles. For personalised passive Jimp compensation in arm supports, ramp-type perturbations with constant velocity across the full joint range appear most optimal for identifying the elevated and non-linear nature of the passive Jimp in DMD.