<  Back to the Polytechnique Montréal portal

A preliminary study in classification of the severity of spine deformation in adolescents with lumbar/thoracolumbar idiopathic scoliosis using machine learning algorithms based on lumbosacral joint efforts during gait

Bahare Samadi, Maxime Raison, Philippe Mahaudens, Christine Detrembleur and Sofiane Achiche

Article (2023)

An external link is available for this item
Department: Department of Mechanical Engineering
PolyPublie URL: https://publications.polymtl.ca/51874/
Journal Title: Computer Methods in Biomechanics and Biomedical Engineering (vol. 26, no. 11)
Publisher: Taylor & Francis
DOI: 10.1080/10255842.2022.2117547
Official URL: https://doi.org/10.1080/10255842.2022.2117547
Date Deposited: 18 Apr 2023 14:59
Last Modified: 24 Aug 2023 17:58
Cite in APA 7: Samadi, B., Raison, M., Mahaudens, P., Detrembleur, C., & Achiche, S. (2023). A preliminary study in classification of the severity of spine deformation in adolescents with lumbar/thoracolumbar idiopathic scoliosis using machine learning algorithms based on lumbosacral joint efforts during gait. Computer Methods in Biomechanics and Biomedical Engineering, 26(11), 1341-1352. https://doi.org/10.1080/10255842.2022.2117547

Statistics

Dimensions

Repository Staff Only

View Item View Item