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Predicting shear force in wheelchair at body-seat interface with machine learning

Domaine:

healthcare

Type de record:

paper
Créateur:
PaqCheGelDub
Éditeur:
LabTexDyn
Éditeur:
CCSD
Hôte:avatar
SB 2022, 47eme Congrès de la Société de Biomécanique, Monastir, Tunisie, 26-/10/2022 - 28/10/2022 Since both normal and shear forces are of importance in pressure ulcer formation, the purpose of the study is to develop and validate a model able to provide total shear forces estimated from Machine Learning results based on FSA parameters. Thus, with a single tool pressure measurement such as FSA, total shear forces could be studied in future work.

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hal.science

Tags

MACHINE LEARNINGTOTAL SHEAR FORCEECOLOGICALPRESSURE ULCERSFAUTEUIL ROULANT[SPI.MECA.BIOM]Engineering Sciences [physics]/Mechanics [physics.med-ph]/Biomechanics [physics.med-ph]

Licenses

https://about.hal.science/hal-authorisation-v1/info:eu-repo/semantics/OpenAccess

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