Gait analysis dataset of healthy volunteers and patients before and 6 months after total hip arthroplasty.
Fiche publication
Date publication
juillet 2022
Journal
Scientific data
Auteurs
Membres identifiés du Cancéropôle Est :
Pr ORNETTI Paul, Mr GUEUGNON Mathieu
Tous les auteurs :
Bertaux A, Gueugnon M, Moissenet F, Orliac B, Martz P, Maillefert JF, Ornetti P, Laroche D
Lien Pubmed
Résumé
Clinical gait analysis is a promising approach for quantifying gait deviations and assessing the impairments altering gait in patients with osteoarthritis. There is a lack of consensus on the identification of kinematic outcomes that could be used for the diagnosis and follow up in patients. The proposed dataset has been established on 80 asymptomatic participants and 106 patients with unilateral hip osteoarthritis before and 6 months after arthroplasty. All volunteers walked along a 6 meters straight line at their self-selected speed. Three dimensional trajectories of 35 reflective markers were simultaneously recorded and Plugin Gait Bones, angles, Center of Mass trajectories and ground reaction forces were computed. Gait video recordings, when available, anthropometric and demographic descriptions are also available. A minimum of 10 trials have been made available in the weka file format and C3D file to enhance the use of machine learning algorithms. We aim to share this dataset to facilitate the identification of new movement-related kinematic outcomes for improving the diagnosis and follow up in patients with hip OA.
Mots clés
Arthroplasty, Replacement, Hip, Gait, Gait Analysis, Healthy Volunteers, Humans, Osteoarthritis, Hip, surgery
Référence
Sci Data. 2022 07 12;9(1):399