Unsupervised Machine Learning on Motion Capture Data Uncovers Movement Strategies in Low Back Pain is a research paper published in Frontiers in Bioengineering and Biotechnology (2022). On theSindex it has a DataRank of 0. It has been cited 11 times.
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National Institutes of Health
Grant: 5UH3NS106899-05
Translational Outcomes Project: Visualizing Syndromic Information and Outcomes for Neurotrauma (TOP-VISION)
National Institutes of Health
Grant: 1R41AR068202-01A1
A Clinical 3D Movement Analysis System for Assessing Lower Extremity Injury Risk and Recovery in Athletes
National Institutes of Health
Grant: 5I01RX002245-08
Harnessing big-data for plasticity and rehabilitation in translational SCI
National Institutes of Health
Grant: 5U24NS122732-03
Pan-Neurotrauma Data Commons
National Institutes of Health
Grant: 5R01NS122888-03
Maladaptive Plasticity in Spinal Cord Injury: Cellular Mechanisms
National Institutes of Health
Grant: 1U19AR076737-01
UCSF Core Center for Patient-centric Mechanistic Phenotyping in Chronic Low Back Pain
National Institutes of Health
Grant: 5I01RX002787-04
Leveraging data-science for discovery in chronic TBI
National Institutes of Health
Grant: 5TL1TR001871-02
NRSA Training Core
FWCI
1.79
Citation Percentile
0.8%
Citation Trend
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Sustainable Development Goals