Hip contact forces can be predicted with a neural network using only synthesised key points and electromyography in people with hip osteoarthritis.
Journal:
Osteoarthritis and cartilage
PMID:
38442767
Abstract
OBJECTIVE: To develop and validate a neural network to estimate hip contact forces (HCF), and lower body kinematics and kinetics during walking in individuals with hip osteoarthritis (OA) using synthesised anatomical key points and electromyography. To assess the capability of the neural network to detect directional changes in HCF resulting from prescribed gait modifications.