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AssigneeThe Regents of the University of California
InventorsDavid Darevsky, Brian Feeley, Xuhui Liu, Michael Davies
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Methods of generating a mobility assessment for a subject are provided. Aspects of the methods include: instructing the subject to perform an activity including an oscillatory motion; generating a visual recording of the subject performing the activity using a recording device; extracting time series data from the visual recording using a dynamic algorithm; generating one or more musculoskeletal movement biomarkers from the time series data; and producing the mobility assessment for the subject from the one or more musculoskeletal movement biomarkers. Also provided are systems for use in practicing methods of the invention.
A method of generating a mobility assessment for a subject, the method comprising:
The method according to any of the preceding claims, wherein the oscillatory motion comprises the movement of a joint of the subject.
The method according to any of the preceding claims, wherein the oscillatory motion comprises the repeated abduction, adduction, flexion, extension, or circumduction of one or more body parts of the subject.
The method according to any of the preceding claims, wherein the visual recording is generated without the use of a motion tracking marker.
The method according to any of the preceding claims, wherein the method further comprises positioning the subject a distance from the recording device.
The method according to any of the preceding claims, wherein the recording device is configured to emit a laser beam.
The method according to any of the preceding claims, wherein the recording device is configured to generate a sequence of visual images over time.
The method according to any of the preceding claims, wherein the time series data comprises the location of one or more body parts of the subject.
The method according to any of the preceding claims, wherein the dynamic algorithm comprises a machine learning algorithm.
The method according to any of the preceding claims, wherein the extracted time series data is filtered.
The method according to any of the preceding claims, wherein one or more of the musculoskeletal movement biomarkers is selected from the group consisting of oscillatory motion amplitude, duration, full width at half maximum, acceleration, and velocity.
The method according to any of the preceding claims, wherein one or more of the musculoskeletal movement biomarkers is generated using principal component analysis.
The method according to any of the preceding claims, wherein one or more of the musculoskeletal movement biomarkers is related to the symmetry of the oscillatory motion.
The method according to any of the preceding claims, wherein one or more of the musculoskeletal movement biomarkers is related to the correlation between separate body parts performing the oscillatory motion.
The method according to any of the preceding claims, wherein one or more of the musculoskeletal movement biomarkers is a movement dynamic range ratio between two body parts.
The method according to any of the preceding claims, wherein the mobility assessment comprises a quantitative score of movement quality.
The method according to any of the preceding claims, wherein the mobility assessment comprises the diagnosis of a disease or condition.
The method according to any of the preceding claims, wherein the mobility assessment comprises a determination regarding whether one or more body parts is being compensated for.
The method according to any of the preceding claims, wherein the mobility assessment comprises a determination regarding whether one or more body parts is compensating for another body part.
The method according to any of the preceding claims, wherein the mobility assessment comprises an assessment of the subject's fitness for performing a task.
The method according to any of the preceding claims, wherein the visual recording is generated at two or more timepoints to generate two or more mobility assessments.
The method according to any of the preceding claims, wherein the subject is a human.
The method according to any of the preceding claims, wherein the mobility assessment is produced at least in part using a dynamic algorithm.
The method according to any of the preceding claims, wherein the mobility assessment is saved to a database.
The method according to any of the preceding claims, wherein the mobility assessment is produced using a computer or smartphone.
A system for generating a mobility assessment for a subject, the system comprising:
Dependencies are inferred from the claim text.