Lower limb sagittal gait kinematics can be predicted based on walking speed, gender, age and BMI

Moissenet, Florent; Leboeuf, Fabien; Armand, Stéphane

doi:10.1038/s41598-019-45397-4

Scientific article

English

Lower limb sagittal gait kinematics can be predicted based on walking speed, gender, age and BMI

ContributorsMoissenet, Florent; Leboeuf, Fabien; Armand, Stéphane

Published inScientific Reports, vol. 9, no. 9510

Publication date2019

Affiliation entities

Faculté de médecine / Section de médecine clinique / Département de chirurgie

Research groups

Funding

Swiss National Science Foundation - http://p3.snf.ch/Project-177179

Citation (ISO format)

MOISSENET, Florent, LEBOEUF, Fabien, ARMAND, Stéphane. Lower limb sagittal gait kinematics can be predicted based on walking speed, gender, age and BMI. In: Scientific Reports, 2019, vol. 9, n° 9510. doi: 10.1038/s41598-019-45397-4

Article (Published version)

CC BY

Identifiers

PID : unige:120399
DOI : 10.1038/s41598-019-45397-4
PMID : 31267006

Additional URL for this publicationhttp://www.nature.com/articles/s41598-019-45397-4

Journal ISSN2045-2322

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Creation03/07/2019 13:49:00

First validation03/07/2019 13:49:00

Update time18/02/2026 16:20:05

Status update18/02/2026 16:20:05

Last indexation18/02/2026 16:20:06

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Lower limb sagittal gait kinematics can be predicted based on walking speed, gender, age and BMI

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