Documents publiés en "2021"

Carmona Duarte, M. C., Plamondon, R., & Faci, N. (2021). Methods and systems for the acquisition of kinematic data for neuromotor assessment. [Procédés et systèmes pour l'acquisition de données cinématiques pour une évaluation neuromotrice]. (Demande de brevet no WO2021072531). Lien externe

Faci, N., Boyogueno Bidias, S. P., Plamondon, R., & Bergeron, N. (2021). An interactive tablet-based system to run neuromuscular testes. Dans The Lognormality Principle and its Applications in e-Security, e-Learning and e-Health (Vol. 88, p. 269-288). Lien externe

Faci, N., Désiré, N., Beauchamp, M., Gagnon, I., & Plamondon, R. (2021). Analysing the Evolution of Children's Neuromotor System Lognormality after Mild Traumatic Bain Injury. Dans The Lognormality Principle and its Applications in e-Security, e-Learning and e-Health (Vol. 88, p. 143-160). Lien externe

Faci, N., Nguyen, H. T., Laniel, P., Gauthier, B., Beauchamp, M. H., Nakagawa, M., & Plamondon, R. (2021). Classifying the Kinematics of Fast Pen Strokes in Children with ADHD using Different Machine Learning Models. Dans The Lognormality Principle and its Applications in e-Security, e-Learning and e-Health (Vol. 88, p. 117-142). Lien externe

Lebel, K., Duval, C., Plamondon, R., Faci, N., & Boissy, P. (2021). Sigma-Lognormal Modelling to Assess Mobility Deficits: The Case of Turn Signature Assessed with Inertial Measurement Units (IMUs). Dans The Lognormality Principle and its Applications in e-Security, e-Learning and e-Health (Vol. 88, p. 177-193). Lien externe