Unsupervised Machine Learning on Motion Capture Data Uncovers Movement Strategies in Low Back Pain

Unsupervised Machine Learning on Motion Capture Data Uncovers Movement Strategies in Low Back Pain

Chronic low back pain (LBP) is a leading cause of disability and opioid prescriptions worldwide, representing a significant medical and socioeconomic problem. Clinical heterogeneity of LBP limits accurate diagnosis and precise treatment planning, culminating in poor patient outcomes. A current prior...

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Bibliographic Details
Main Authors: Anastasia V. Keller, Abel Torres-Espin, Thomas A. Peterson, Jacqueline Booker, Conor O’Neill, Jeffrey C Lotz, Jeannie F Bailey, Adam R. Ferguson, Robert P. Matthew
Format: Article
Language:English
Published: Frontiers Media S.A. 2022-04-01
Series:Frontiers in Bioengineering and Biotechnology
Subjects:
nonlinear principal component analysis
biomechanics
chronic low back pain
sit-to-stand
movement strategies
Online Access:https://www.frontiersin.org/articles/10.3389/fbioe.2022.868684/full

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https://www.frontiersin.org/articles/10.3389/fbioe.2022.868684/full

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