Unsupervised Machine Learning on Motion Capture Data Uncovers Movement Strategies in Low Back Pain.
biomechanics
chronic low back pain
movement strategies
nonlinear principal component analysis
sit-to-stand
Journal
Frontiers in bioengineering and biotechnology
ISSN: 2296-4185
Titre abrégé: Front Bioeng Biotechnol
Pays: Switzerland
ID NLM: 101632513
Informations de publication
Date de publication:
2022
2022
Historique:
received:
03
02
2022
accepted:
15
03
2022
entrez:
2
5
2022
pubmed:
3
5
2022
medline:
3
5
2022
Statut:
epublish
Résumé
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 priority of LBP research is the development of objective, multidimensional assessment tools that subgroup LBP patients based on neurobiological pain mechanisms, to facilitate matching patients with the optimal therapies. Using unsupervised machine learning on full body biomechanics, including kinematics, dynamics, and muscle forces, captured with a marker-less depth camera, this study identified a forward-leaning sit-to-stand strategy (STS) as a discriminating movement biomarker for LBP subjects. A forward-leaning STS strategy, as opposed to a vertical rise strategy seen in the control participants, is less efficient and results in increased spinal loads. Inefficient STS with the subsequent higher spinal loading may be a biomarker of poor motor control in LBP patients as well as a potential source of the ongoing symptomology.
Identifiants
pubmed: 35497350
doi: 10.3389/fbioe.2022.868684
pii: 868684
pmc: PMC9047543
doi:
Types de publication
Journal Article
Langues
eng
Pagination
868684Informations de copyright
Copyright © 2022 Keller, Torres-Espin, Peterson, Booker, O’Neill, Lotz, Bailey, Ferguson and Matthew.
Déclaration de conflit d'intérêts
Author JL has stock options in and is a consultant for Bioniks LLC. JB has stock options in Bioniks LLC. The remaining authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.
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