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Shoulder kinematics assessment towards exoskeleton development
Delgado, Pablo Alekhya, Sajja MajidiRad, Amir Hossein Desai, Jaydip M. Yihun, Yimesker S.
Delgado, Pablo
Alekhya, Sajja
MajidiRad, Amir Hossein
Desai, Jaydip M.
Yihun, Yimesker S.
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Delgado_2020.pdf
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2020-08-11
Type
Article
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Keywords
Biomechanics,Joint alignment,Movement analysis,Rehabilitation,Shoulder kinematics
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Citation
Delgado, P.; Alekhya, S.; Majidirad, A.; Hakansson, N.A.; Desai, J.; Yihun, Y. Shoulder Kinematics Assessment towards Exoskeleton Development. Appl. Sci. 2020, 10, 6336
Abstract
Neuromuscular and sensorimotor degeneration caused by stroke or any other disease significantly reduce the physical, cognitive, and social well-being across the life span. Mostly, therapeutic interventions are employed in order to restore the lost degrees-of-freedom (DOF) caused by such impairments and automating these therapeutic tasks through exoskeletons/robots is becoming a common practice. However, aligning these robotic devices with the complex anatomical and geometrical motions of the joints is very challenging. At the same time, a good alignment is required in order to establish a better synergy of human-exoskeleton system for an effective intervention procedure. In this paper, a case study of an exoskeleton and shoulder joint alignment were studied through different size and orientation impairment models through motion capture data and musculoskeletal modeling in OpenSim. A preliminary result indicates that shoulder elevation is very sensitive to misalignment and varies with shoulder joint axes orientation; this is partly due to drastic displacement of the upper arm axes with respect to the shoulder joint origin during elevation. Additional study and analysis is required to learn any possible restraint on shoulder elevation that could potentially help in the exoskeleton development.
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© 2020 Authors. This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited
Publisher
MDPI AG
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Series
Applied Sciences (Switzerland);v.10:no.18:art.no.6336
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2076-3417