Intelligent joint prosthesis

Patent metadata

Field	Value
Publication number	US-12293828-B2
Application number	US-202117483309-A
Country	US
Kind code	B2
Filing date	Sep 23, 2021
Priority date	Jun 6, 2019
Publication date	May 6, 2025
Grant date	May 6, 2025

Abstract

Medical devices coupled to a sensor, and systems including such devices, can generate data and analysis based on that data, which may be used to identify and/or address problems associated with the implanted medical device, including incorrect placement of the device, unanticipated degradation of the device, and undesired movement of the device. Also provided are medical devices coupled to a sensor, and devices and methods to address problems that have been identified with an implanted medical device.

First claim

What is claimed is:

1. A method, comprising:
detecting a movement of an implanted prosthesis, where the implanted prosthesis comprises one or more sensors;
responsive to detecting the movement of the implanted prosthesis, generating a sensor signal of the movement, where generating a sensor signal of the movement comprises sampling an analog output signal output by the one or more sensors to obtain a set of samples;
determining that the sensor signal represents a qualified event;
responsive to determining that the sensor signal represents a qualified event, transmitting the sensor signal to a remote location; correlating the set of samples with corresponding benchmark samples of the qualified event; comparing the correlation results to a threshold; and determining that the set of samples are a qualified event if the correlation results exceed the threshold; and
entering an implantable circuit associated with the prosthesis into a lower-power mode after transmitting the sensor signal.

2. The method of claim 1 wherein the sensor signal identifies a clinical or subclinical condition associated with the implanted prosthesis.

3. The method of claim 1 wherein the prosthesis is implanted in a knee of a subject.

4. The method of claim 3 wherein the prosthesis comprises a sensor selected from an accelerometer and a gyroscope.

5. The method of claim 1 wherein the prosthesis is implanted in a hip or a shoulder of a subject.

6. The method of claim 5 wherein the prosthesis comprises a sensor selected from an accelerometer and a gyroscope.

7. The method of claim 1 , wherein detecting a movement of an implanted prosthesis comprises determining that a magnitude of an output signal from the one or more sensors exceeds a movement-detection threshold.

8. The method of claim 1 , wherein the sampling is performed during a finite window of time.

9. A method, comprising:
detecting a first movement of an implanted prosthesis;
responsive to detecting the first movement of the implanted prosthesis, generating a first sensor signal of the first movement;
determining that the first sensor signal represents a qualified event;
response to determining that the first sensor signal represents a qualified event, transmitting the first sensor signal to a remote location;
entering at least one component of an implantable circuit associated with the prosthesis into a lower-power mode after transmitting the sensor signal; and
after an elapse of a low-power-mode time for which the implantable circuit is configured, detecting a second movement of an implanted prosthesis; wherein the low-power-mode time is based on a schedule that is based on an amount of time since the prosthesis was implanted;
responsive to detecting the second movement of the implanted prosthesis, generating a second sensor signal of the second movement;
determining that the second sensor signal represents a qualified event; and
response to determining that the sensor signal represents a qualified event, transmitting the second sensor signal to a remote location.

10. The method of claim 9 wherein the sensor signal identifies a clinical or subclinical condition associated with the implanted prosthesis.

11. The method of claim 9 wherein the prosthesis is implanted in a knee of a subject.

12. The method of claim 11 wherein the prosthesis comprises a sensor selected from an accelerometer and a gyroscope.

13. The method of claim 9 wherein the prosthesis is implanted in a hip or a shoulder of a subject.

14. The method of claim 13 wherein the prosthesis comprises a sensor selected from an accelerometer and a gyroscope.

15. The method of claim 9 , wherein the low-power-mode time corresponds to a programmed amount of time.

16. The method of claim 9 , wherein the schedule is a specified number of times per a specified number of days for a specified period of months since the prosthesis was implanted.

17. A method, comprising:
detecting a movement of an implanted prosthesis, where the implanted prosthesis comprises one or more sensors;
responsive to detecting the movement of the implanted prosthesis, generating a sensor signal of the movement, wherein generating a sensor signal of the movement comprises sampling an analog output signal output by the one or more sensors to obtain a set of samples;
determining that the sensor signal represents a qualified event;
responsive to determining that the sensor signal represents a qualified event, transmitting the sensor signal to a remote location; wherein transmitting the sensor signal to a remote location comprises transmitting the set of samples together with sample information comprising one or more of the identity of the sensor that generated the analog output signal from which the set of samples was obtained, the raw sampling rate, the effective sampling rate, the start time at which the first sample of the set was taken, the end time at which the last sample of the set was taken, the length of a time window during which the set of samples was obtained, the dynamic amplitude input range and the amplitude output range of the analog-to-digital converter that took the samples in the set of samples; and
entering an implantable circuit associated with the prosthesis into a lower-power mode after transmitting the sensor signal.

18. The method of claim 17 wherein the sensor signal identifies a clinical or subclinical condition associated with the implanted prosthesis.

19. The method of claim 17 wherein the prosthesis is implanted in a knee of a subject.

20. The method of claim 19 wherein the prosthesis comprises a sensor selected from an accelerometer and a gyroscope.

21. The method of claim 17 wherein the prosthesis is implanted in a hip or a shoulder of a subject.

22. The method of claim 21 wherein the prosthesis comprises a sensor selected from an accelerometer and a gyroscope.

23. The method of claim 17 wherein the prosthesis comprises a sensor selected from an accelerometer and a gyroscope.

24. The method of claim 17 , wherein the sampling is performed during a finite window of time.

25. The method of claim 17 , wherein detecting a movement of an implanted prosthesis comprises determining that a magnitude of an output signal from the one or more sensors exceeds a movement-detection threshold.

Assignees

• Canary Medical Inc

Inventors

• Gross Jeffrey M
• Schiller Peter J
• Hunter William L
• Cushner Fred
• Aubin Patrick M

Classifications

• A61B5/11

  Measuring movement of the entire body or parts thereof, e.g. head or hand tremor or mobility of a limb {(A61B5/1038 takes precedence; motion detection to correct for motion artifacts in physiological signals A61B5/721)} · CPC title

• A61B5/0022

  Monitoring a patient using a global network, e.g. telephone networks, internet · CPC title

• A61F2/4657

  Measuring instruments used for implanting artificial joints (for surgical instruments A61B90/06) · CPC title

• A61F2/389

  Tibial components (A61F2/3868 takes precedence) · CPC title

• A61F2002/3067

  for data transfer · CPC title