Real-time, accurate, and open source upper-limb musculoskeletal analysis using a single RGBD camera — An exploratory hand-cycling study

Amedeo Ceglia, Kael Facon, Mickaël Begon and Lama Séoud

Article (2024)

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Department:	Department of Computer Engineering and Software Engineering Institut de génie biomédical
Funders:	Natural Sciences and Engineering Research Council of Canada, Fonds de recherche du Québec – Nature et technologies
Grant number:	RGPIN/04978-2019
PolyPublie URL:	https://publications.polymtl.ca/60322/
Journal Title:	Computers in Biology and Medicine (vol. 184)
Publisher:	Elsevier BV
DOI:	10.1016/j.compbiomed.2024.109434
Official URL:	https://doi.org/10.1016/j.compbiomed.2024.109434
Date Deposited:	27 Nov 2024 15:37
Last Modified:	27 Nov 2024 15:37

Cite in APA 7:	Ceglia, A., Facon, K., Begon, M., & Séoud, L. (2024). Real-time, accurate, and open source upper-limb musculoskeletal analysis using a single RGBD camera — An exploratory hand-cycling study. Computers in Biology and Medicine, 184, 109434 (11 pages). https://doi.org/10.1016/j.compbiomed.2024.109434
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