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AI Biotech/Diagnostics: Cardio
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Patent US10448919
Issued 2019-10-22
Assessing Joint Condition Using Acoustic Sensors
A new non-invasive tool for cartilage assessment, exercise and sports management, and prevention of osteoarthritis is provided. In various embodiments, cartilage condition is assessed using audible signals from joints. Assessment test results are used to provide feedback regarding joint stress and friction that is related to physiological or pathological loads. Data obtained from audible signals are processed to provide an index that can be interpreted by a user or third parties. The index is useful as a baseline for exercise practices, training routines, wellness programs, or rehabilitation protocols.
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- 1. A system comprising:
a contact microphone; a processor operatively connected to the contact microphone; a computer readable storage medium having program instructions embodied therewith, the program instructions configured to cause the processor to perform a method comprising:
receiving from the contact microphone audio comprising sounds emanating from a human patellofemoral joint of a subject during knee flexion;
extracting a plurality of features from the audio by the processor;
providing the plurality of features to a trained classifier;
obtaining from the trained classifier a first numeric score indicative of patellofemoral joint health;
obtaining a pain value reported by the subject or a characteristic of the subject;
computing a second score indicative of joint health from the first score, wherein computing the second score comprises weighting the first score according to the pain value reported by the subject or according to the characteristic of the subject, wherein said weighting comprises applying a mathematical function to the first score; and
displaying the second score with an indication to perform follow-up when the second score is below a predetermined threshold.
- 13. A method comprising:
receiving from a contact microphone audio comprising sounds emanating from a human patellofemoral joint of a subject during knee flexion; extracting a plurality of features from the audio by a processor; providing the plurality of features to a trained classifier; obtaining from the trained classifier a first numeric score indicative of patellofemoral joint health; obtaining a pain value reported by the subject or a characteristic of the subject; computing a second score indicative of joint health from the first score, wherein computing the second score comprises weighting the first score according to the pain value reported by the subject or according to the characteristic of the subject, wherein said weighting comprises applying a mathematical function to the first score; and displaying the second score with an indication to perform follow-up when the second score is below a predetermined threshold.
