Machine learning accuracy for assessment of functional movem…

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Machine learning accuracy for assessment of functional movement in Low back pain based on clinically applicable performance Metrics: A systematic review

Review 2025 EN Hybrid

• This is the first systematic review to evaluate machine learning (ML) models for assessing functional movement in people with Low back pain (LBP) using psychometric properties. • Kinematic inputs such as IMU sensors and marker-based motion capture systems are commonly used in ML models for movement assessment. • Most studies emphasised binary classification (LBP and healthy) rather than variatio…

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5 authors
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1 Tamer Burjawi Corresponding RMIT University (AU)
2 Doa El‐Ansary The University of Melbourne (AU) Shanghai University of Medicin… (CN) +1
3 Joshua Brodie Farragher Shanghai University of Medicin… (CN) RMIT University (AU)
4 Oren Tirosh Shanghai University of Medicin… (CN) RMIT University (AU)
5 Adrian Pranata Shanghai University of Medicin… (CN) RMIT University (AU)

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