Machine learning analysis of kinematic movement features during functional tasks to discriminate chronic neck pain patients from asymptomatic controls

Machine learning analysis of kinematic movement features during functional tasks to discriminate chronic neck pain patients from asymptomatic controls

Abstract This study evaluated the discriminative potential of a machine learning model using movement features during functional tasks to distinguish between patients with non-traumatic chronic neck pain and asymptomatic controls. The study included patients with chronic mechanical neck pain and asy...

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Bibliographic Details
Main Authors: Filippo Moggioli, Óscar Rodríguez-López, Elena Bocos-Corredor, Constantino Antonio García, Sonia Liébana, Tomás Pérez-Fernández, Cristina Sánchez, Susan Armijo-Olivo, José Angel Santos-Paz, Aitor Martín-Pintado-Zugasti
Format: Article
Language:English
Published: Nature Portfolio 2025-07-01
Series:Scientific Reports
Subjects:
Assessment technology
Biomechanics
Kinematics
Neck pain
Functional tasks
Machine learning
Online Access:https://doi.org/10.1038/s41598-025-06331-z
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