CONFIGURATION OF A STIMULATION MEDICAL IMPLANT

• US 20100106218A1
• Filed: 09/14/2007
• Published: 04/29/2010
• Est. Priority Date: 09/14/2006
• Status: Abandoned Application

• Current Assignee: Cochlear Limited
• Original Assignee: Cochlear Limited
• Inventors: Botros, Andrew
• Application Number:
  US12/441,273
• Publication Number:
  US 20100106218A1
• Time in Patent Office: Days
• US Class Current: 607/57
• CPC Class Codes: A61B 2560/0271 using a remote monitoring unit
• CPC Class Codes: A61B 5/0031 Implanted circuitry
• CPC Class Codes: A61B 5/076 Permanent implantations telemetry using implanted circuitry A61B5/0031; implanted stimulators for therapy A61N1/3605, A61N1/362, A61N1/372
• CPC Class Codes: A61B 5/24 Detecting, measuring or recording bioelectric or biomagnetic signals of the body or parts thereof
• CPC Class Codes: A61N 1/36039 fitting procedures

Abstract

A method for configuring a medical implant that stimulates a physiological system of a recipient of the medical implant is described where the medical implant includes at least one input configuration variable corresponding to a subjective characteristic of the physiological system. The configuration method includes measuring at least one physical characteristic of the physiological system to provide at least one objective physical measurement value and then determining the at least one input configuration variable to configure the medical implant by a predictive configuration model having as an input the at least one objective physical measurement value.

Claims

1. A method for configuring a medical implant that stimulates a physiological system of a recipient of the medical implant, the medical implant having at least one input configuration variable corresponding to a subjective characteristic of the physiological system, the method comprising:

measuring at least one physical characteristic of the physiological system to provide at least one objective physical measurement value; and

determining the at least one input configuration variable to configure the medical implant by a predictive configuration model having as an input the at least one objective physical measurement value.

2. The method as of claim 1, wherein the predictive configuration model is based on determined associations between the at least one objective physical measurement value of the physiological system and the at least one input configuration variable for the medical implant.

3. The method of claim 2, wherein the predictive configuration model includes as an input at least one stimulation input parameter value.

4. The method of claim 2, wherein the determined associations are determined by a machine learning algorithm trained on training data including multiple records of the at least one objective physical measurement value and corresponding at least one input configuration variable.

5. The method of claim 4, wherein multiple records of the corresponding at least one input configuration variable are subjectively determined by prior recipients of the medical implant.

6. The method of claim 4, wherein the training data further includes multiple corresponding records of the at least one stimulation input parameter value.

7. The method of claim 2, wherein the determined associations are determined by a physiological model of the physiological system.

8. The method of claim 1, wherein measuring the at least one physical characteristic and then configuring the implant occurs during a surgical implantation procedure.

9. The method of claim 8, wherein the medical implant is further configured by the recipient of the medical implant after the surgical implantation procedure.

10. The method of claim 1, wherein the medical implant is an implantable neural prosthesis for the treatment of hearing loss.

11. The method of claim 10, wherein the implantable neural prosthesis is a cochlear implant having an array of electrodes.

12. The method of claim 11, wherein the at least one input configuration variable includes T and C levels for at least one electrode in the array of electrodes.

13. The method of claim 11, wherein the at least one objective physical measurement value is obtained from measurements of one or more physical characteristics of the auditory system including:

ECAP threshold;

ECAP amplitude growth;

ECAP recovery;

ECAP spread of excitation;

EABR threshold;

ESR threshold; and

impedance for at least one electrode in the array of electrodes.

14. The method of claim 1, wherein the at least one stimulation parameter value includes the map rates and/or stimulation pulse widths for at least one electrode in the array of electrodes.

15. A medical implant system for the stimulation of a physiological system of a recipient of the medical implant, the medical implant system having at least one input configuration variable corresponding to a subjectively determined characteristic of the physiological system, the medical implant system including:

measurement means to measure at least one physical characteristic of the physiological system to provide at least one objective physical measurement value; and

data processing means for processing the at least one corresponding objective physical measurement value according to a predictive configuration model to provide the at least one input configuration variable to configure the medical implant system.

16. The medical implant system of claim 15, wherein the predictive configuration model is based on determined associations between the at least one objective physical measurement value of the physiological system and the at least one input configuration variable.

17. The medical implant system of claim 16, wherein the predictive configuration model includes as an input at least one stimulation input parameter value to configure the medical implant system.

18. The method of claim 16, wherein the determined associations are determined by a machine learning algorithm trained on training data including multiple records of the at least one objective physical measurement value and corresponding at least one input configuration variable.

19. The medical implant system of claim 18, wherein the multiple records of the corresponding at least one input configuration variable are subjectively determined by prior recipients of the medical implant.

20. The medical implant system of claim 18, wherein the training data further includes multiple corresponding records of the at least one stimulation input parameter value.

21. The medical implant system of claim 16, wherein the determined associations are determined by a physiological model of the physiological system.

22. The medical implant system of claim 15, wherein the measurement means measures the at least one physical characteristic during a surgical implantation procedure.

23. The medical implant system of claim 22, wherein the data processing means processes the at least one corresponding objective physical measurement value according to the predictive configuration model to provide the at least one input configuration variable to configure the medical implant system during the surgical implantation procedure.

24. The medical implant system of claim 23, wherein the medical implant system is further configured by a recipient of the medical implant after the surgical implantation procedure.

25. The medical implant system of claim 15, wherein the medical implant system is an implantable neural prosthesis for the treatment of hearing loss.

26. The medical implant system of claim 25, wherein the implantable neural prosthesis is a cochlear implant having an array of electrodes.

27. The medical implant system of claim 26, wherein the at least one input configuration variable includes T and C levels for at least one electrode in the array of electrodes.

28. The medical implant system of claim 26, wherein the at least one objective physical measurement value is obtained from measurements of one or more physical characteristics of the auditory system including:

ECAP threshold;

ECAP amplitude growth;

ECAP recovery;

ECAP spread of excitation;

EABR threshold;

ESR threshold; and

impedance for at least one electrode in the array of electrodes.

29. The method of claim 26, wherein the at least one stimulation parameter value includes the map rates and/or stimulation pulse widths for at least one electrode in the array of electrodes.