Low back pain risk assessment: Combining trunk kinematic and electromyographic data through a deep learning neural network

Auteurs

Alain Delisle, Université de SherbrookeFollow
François Thénault, Université de SherbbrookeFollow
André Plamondon, IRSSTFollow
Hakim Mecheri, IRSSTFollow

Type de document

Communications orales

Date de la conférence

2019-01-01

Langue

Anglais

Nom de la conférence

PREMUS 2019, the 10th International Scientific Conference on the Prevention of Work-Related Musculoskeletal Disorders: From research to evidence based sustainable interventions and practices

Lieu de la conférence

Bologne, Italie

Mots-clés

Affection dorsale, Back disorder

Numéro de projet IRSST

2018-0007

Citation recommandée

Delisle, A., Thénault, F., Plamondon, A. et Mecheri, H. (2019, 2-5 septembre). Low back pain risk assessment: Combining trunk kinematic and electromyographic data through a deep learning neural network [Communication]. PREMUS 2019, the 10th International Scientific Conference on the Prevention of Work-Related Musculoskeletal Disorders: From research to evidence based sustainable interventions and practices, Bologne, Italie.