Patent US10448919

Assessing joint condition using acoustic sensors
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US10448919

1. A system comprising: (8) (3)

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.

2. The system of claim 1, the method further comprising: (1) (1)

4. The system of claim 1, the method further comprising: (2) (1)

canceling noise from the audio prior to extracting the plurality of features.

5. The system of claim 4, wherein canceling noise comprises: (0) (2)

6. The system of claim 4, wherein canceling the noise comprises: (0) (1)

7. The system of claim 1, wherein the plurality of features comprises zero-crossing rate, entropy of energy, spectral centroid, spectral spread, mel-frequency cepstral coefficients, or chroma vector. (0)

8. The system of claim 1, wherein the trained classifier comprises a random decision forest. (0)

9. The system of claim 1, wherein the trained classifier comprises a neural network. (0)

10. The system of claim 1, wherein the trained classifier comprises a support vector machine. (0)

11. The system of claim 1, wherein the characteristic comprises body mass index, age, gender, existing medical condition, or frequency of physical activity. (0)

12. The system of claim 1, the method further comprising outputting the first score or the second score to a user. (0)

13. A method comprising: (8) (7)

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;

displaying the second score with an indication to perform follow-up when the second score is below a predetermined threshold.

14. The method of claim 13, further comprising: (1) (1)

capturing the audio via a contact microphone in contact with the exterior of a human knee.

15. The method of claim 14, wherein the contact microphone is in contact with an anterior patellar surface. (2) (0)

17. The method of claim 15, wherein canceling noise comprises: (0) (2)

18. The method of claim 15, wherein canceling the noise comprises: (0) (1)

16. The method of claim 13, further comprising: (0) (1)

19. The method of claim 13, wherein the plurality of features comprises zero-crossing rate, entropy of energy, spectral centroid, spectral spread, mel-frequency cepstral coefficients, or chroma vector. (0)

20. The method of claim 13, wherein the trained classifier comprises a random decision forest. (0)

21. The method of claim 13, wherein the trained classifier comprises a neural network. (0)

22. The method of claim 13, wherein the trained classifier comprises a support vector machine. (0)

23. The method of claim 13, wherein the characteristic comprises body mass index, age, gender, existing medical condition, or frequency of physical activity. (0)

24. The method of claim 13, further comprising outputting the first score or the second score to a user. (0)

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Patent US10448919

Assessing joint condition using acoustic sensors

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