Loading patent…
AssigneeBeneufit, Inc.
InventorsJeffery Broderick, Ugenteraan Manogaran
Estimating the term…
Disclosed examples relate to a system and method for creating and integrating self-supervised learning (SSL) digital movement biomarkers into electronic health records (EHRs) for enhanced diagnostic support and treatment monitoring, particularly for rare diseases and movement disorders. Example systems employ SSL techniques to analyze video data, tracking body key points and extracting kinematic data without the need for human-labeled annotations. Disclosed examples generate digital movement biomarker profiles that quantify symptoms and track disease progression, facilitating the objective measurement of drug impacts on symptoms. Example systems include components for video processing, compliance checking, pose estimation, context analysis, kinematic measurement, and classification. The digital movement biomarker profiles are stored securely and made accessible for clinical use, offering a novel approach to personalized medicine by enabling the identification of disorder-specific traits and symptom similarities across different disorders.
A system for generating a self-supervised learning (SSL) digital movement biomarker, comprising:
A method for generating a self-supervised learning (SSL) digital movement biomarker, comprising:
A system for integrating SSL digital movement biomarker profiles with electronic health records, comprising:
Dependencies are inferred from the claim text.