Autogeneration of neurostimulation therapy program groups

• US 7,774,067 B2
• Filed: 04/12/2006
• Issued: 08/10/2010
• Est. Priority Date: 04/12/2006
• Status: Active Grant

• Current Assignee: Medtronic Incorporated (Medtronic Plc)
• Original Assignee: Medtronic Incorporated (Medtronic Plc)
• Inventors: Gokaldas, Shyam, Goetz, Steven M., Keacher, Jeffrey T., Houchins, Andrew H., Stone, Theodore J., Johnson, Donald R.
• Primary Examiner(s): Layno; Carl H
• Assistant Examiner(s): Behringer; Luther G
• Application Number:
  US11/402,652
• Publication Number:
  US 20070244519A1
• Time in Patent Office: 1,581 Days
• Field of Search: 600/300, 607/2, 607/19, 607/28, 607/31, 607/48, 607/57
• US Class Current: 607/48
• CPC Class Codes: A61N 1/3605 Implantable neurostimulators for stimulating central or peripheral nerve system
• CPC Class Codes: A61N 1/37247 User interfaces, e.g. input or presentation means
• CPC Class Codes: A61N 1/37264 Changing the program; Upgrading firmware
• CPC Class Codes: G16H 40/63 for local operation
• CPC Class Codes: G16Z 99/00 Subject matter not provided for in other main groups of this subclass

Abstract

Techniques for automatically generating neurostimulation therapy program groups are disclosed. The techniques may include receiving rating information and information describing actual therapy effects for a plurality of tested programs, and receiving target therapy data describing target therapy effects. The techniques may include automatically generating plurality of program groups based on the rating information and a comparison of actual effects to the target therapy effects. Actual effects and target therapy effects may be, for example, actual paresthesia areas and target paresthesia areas. The techniques may also include determining whether a sufficient number of programs have been tested to generate a desired number of programs groups and, if a sufficient number have not been tested, automatically generating additional programs based on the tested programs, and automatically generating program groups from the tested and automatically generated programs.

Claims

1. A method comprising:

for each of a plurality of neurostimulation programs previously tested on a patient, receiving rating information and information describing at least one actual effect resulting from delivery of neurostimulation therapy according to the program;

receiving target therapy information from a user for a subsequent neurostimulation therapy session that describes a plurality of desired target therapy effects that the user desires to address in the subsequent neurostimulation therapy session;

in response to receiving the target therapy information from the user, automatically comparing the actual effects for the previously tested programs to the desired target therapy effects that the user desires to address in the subsequent neurostimulation therapy session; and

automatically generating a plurality of program groups based on the rating information and the comparison, each of the program groups including a different subset of the neurostimulation programs tested on the patient, wherein each of the program groups include two or more of the neurostimulation programs tested on the patient.

2. The method of claim 1, wherein receiving target therapy information that describes a plurality of desired target therapy effects comprises receiving target therapy information that describes a plurality of target paresthesia coverage areas, and receiving information describing at least one actual effect comprises receiving information describing at least one actual paresthesia coverage area resulting from delivery of neurostimulation therapy according to the program.

3. The method of claim 1, wherein automatically generating a plurality of program groups comprises selecting two or more of the tested programs for each of the program groups based on the rating information and such that the actual effects of the selected two or more programs substantially match the desired target therapy effects.

4. The method of claim 1, wherein automatically generating a plurality of program groups comprises:

combinatorially generating program groups from the tested programs;

applying an algorithm to each of the program groups, the algorithm providing a score for each of the program groups based on at least one of the rating information for the constituent programs of the program groups or a comparison of the actual effects for the constituent programs to the desired target therapy effects; and

selecting the plurality of program groups from among the combinatorially generated program groups based on the scores.

5. The method of claim 1, wherein automatically generating a plurality of program groups comprises applying weightings to the rating information and the comparison of the actual effects to the desired target therapy effects based on user input.

6. The method of claim 1, wherein the rating information for each of the tested programs includes a plurality of metrics, and automatically generating a plurality of program groups based on the rating information comprises determining an overall rating for each of the tested programs by applying weighting values to each of the metrics.

7. The method of claim 6, further comprising selecting the weighting values based on user input.

8. The method of claim 6, wherein the plurality of metrics comprises at least two of an efficacy metric, a side-effects metric, a power consumption metric, or a therapeutic amplitude range metric.

9. The method of claim 1, wherein the target therapy information includes a target number of program groups, and automatically generating a plurality of program groups comprises automatically generating the target number of program groups.

10. The method of claim 9, further comprising:

determining that a number of the tested programs is insufficient to generate the target number of program groups; and

in response to the determination, automatically generating additional programs based on the tested programs,

wherein automatically generating the target number of program groups comprises automatically generating the target number of program groups from the tested programs and the automatically generated programs.

11. The method of claim 10, wherein automatically generating additional programs based on the tested programs comprises generating a copy of at least one of the tested programs with an electrode configuration of the copy modified relative to an electrode configuration of the tested program.

12. A computer-readable storage medium comprising instructions that cause a programmable processor to;

for each of a plurality of neurostimulation programs previously tested on a patient, receive rating information and information describing at least one actual effect resulting from delivery of neurostimulation therapy according to the program;

receive target therapy information from a user for a subsequent neurostimulation therapy session that describes a plurality of desired target therapy effects that the user desires to address in the subsequent neurostimulation therapy session;

automatically compare the actual effects for the previously tested programs to the desired target therapy effects that the user desires to address in the subsequent neurostimulation therapy session in response to receiving the target therapy information from the user; and

automatically generate a plurality of program groups based on the rating information and the comparison, each of the program groups including a different subset of the neurostimulation programs tested on the patient, wherein each of the program groups include two or more of the neurostimulation programs tested on the patient.

13. The computer-readable medium of claim 12,

wherein the instructions that cause a programmable processor to receive target therapy information that describes a plurality of desired target therapy effects comprise instructions that cause a programmable processor to receive desired target therapy information that describes a plurality of target paresthesia coverage areas, and

wherein the instructions that cause a programmable processor to receive at least one actual effect comprise instructions that cause a programmable processor to receive information describing at least one actual paresthesia coverage area resulting from delivery of neurostimulation therapy according to the program.

14. The computer-readable medium of claim 12, wherein the instructions that cause a programmable processor to automatically generate a plurality of program groups comprise instructions that cause a programmable processor to select two or more of the tested programs for each of the program groups based on the rating information and such that the actual effects of the selected two or more programs substantially match the desired target therapy effects.

15. The computer-readable medium of claim 12, wherein the instructions that cause a programmable processor to automatically generate a plurality of program groups comprise instructions that cause a programmable processor to:

combinatorially generate program groups from the tested programs;

apply an algorithm to each of the program groups, the algorithm providing a score for each of the program groups based on at least one of the rating information for the constituent programs of the program groups or a comparison of the actual effects for the constituent programs to the desired target therapy effects; and

select the plurality of program groups from among the combinatorially generated program groups based on the scores.

16. The computer-readable medium of claim 12, wherein the instructions that cause a programmable processor to automatically generate a plurality of program groups comprise instructions that cause a programmable processor to apply weightings to the rating information and the comparison of the actual effects to the desired target therapy effects based on user input.

17. The computer-readable medium of claim 12, wherein the rating information for each of the tested programs includes a plurality of metrics, and the instructions that cause a programmable processor to automatically generate a plurality of program groups based on the rating information comprise instructions that cause a programmable processor to determine an overall rating for each of the tested programs by applying weighting values to each of the metrics.

18. The computer-readable medium of claim 17, further comprising instructions that cause a programmable processor to select the weighting values based on user input.

19. The computer-readable medium of claim 17, wherein the plurality of metrics comprises at least two of an efficacy metric, a side-effects metric, a power consumption metric, or a therapeutic amplitude range metric.

20. The computer-readable medium of claim 12, wherein the target therapy information includes a target number of program groups, and the instructions that cause a programmable processor to automatically generate a plurality of program groups comprise instructions that cause a programmable processor to automatically generate the target number of program groups.

21. The computer-readable medium of claim 20, further comprising instructions that cause a programmable processor to:

determine that a number of the tested programs is insufficient to generate the target number of program groups; and

in response to the determination, automatically generate additional programs based on the tested programs,

wherein the instructions that cause a programmable processor to automatically generate the target number of program groups comprise instructions that cause a programmable processor to automatically generate the target number of program groups from the tested programs and the automatically generated programs.

22. The computer-readable medium of claim 21, wherein the instructions that cause a programmable processor to automatically generate additional programs based on the tested programs comprise instructions that cause a programmable processor to generate a copy of at least one of the tested programs with an electrode configuration of the copy modified relative to an electrode configuration of the tested program.

23. A device comprising:

a user interface; and

a processor that for each of a plurality of neurostimulation programs previously tested on a patient, receives rating information and information describing at least one actual effect resulting from delivery of neurostimulation therapy according to the program via the user interlace, receives target therapy information from a user for a subsequent neurostimulation therapy session that describes a plurality of desired target therapy effects that the user desires to address in the subsequent neurostimulation therapy session via the user interface, automatically compares the actual effects for the previously tested programs to the desired target therapy effects that the user desires to address in the subsequent neurostimulation therapy session in response to receiving the target therapy information from the user, and automatically generates a plurality of program groups based on the rating information and the comparison, each of the program groups including a different subset of the neurostimulation programs tested on the patient, wherein each of the program groups includes two or more neurostimulation programs tested on the patient.

24. The device of claim 23, wherein the desired target therapy effects comprise target paresthesia coverage areas, and the at least one actual effect for each of the tested programs comprises at least one actual paresthesia coverage area resulting from delivery of neurostimulation therapy according to the program.

25. The device of claim 23, wherein the processor selects two or more of the tested programs for each of the program groups based on the rating information and such that the actual effects of the selected two or more programs substantially match the desired target therapy effects.

26. The device of claim 23, wherein the processor to combinatorially generates program groups from the tested programs, applies an algorithm to each of the program groups, the algorithm providing a score for each of the program groups based on at least one of the rating information for the constituent programs of the program groups or a comparison of the actual effects for the constituent programs to the desired target therapy effects, and selects the plurality of program groups from among the combinatorially generated program groups based on the scores.

27. The device of claim 23, wherein the processor applies weightings to the rating information and the comparison of the actual effects to the desired target therapy effects based on user input.

28. The device of claim 23, wherein the rating information for each of the tested programs includes a plurality of metrics, and the processor determines an overall rating for each of the tested programs by applying weighting values to each of the metrics.

29. The device of claim 28, wherein the processor selects the weighting values based on user input.

30. The device of claim 28, wherein the plurality of metrics comprises at least two of an efficacy metric, a side-effects metric, a power consumption metric, or a therapeutic amplitude range metric.

31. The device of claim 23, wherein the target therapy information includes a target number of program groups, and the processor automatically generates the target number of program groups.

32. The device of claim 31, wherein the processor determines that a number of the tested programs is insufficient to generate the target number of program groups, in response to the determination, automatically generates additional programs based on the tested programs, automatically generates the target number of program groups from the tested programs and the automatically generated programs.

33. The device of claim 32, wherein the processor automatically generates additional programs by generating a copy of at least one of the tested programs with an electrode configuration of the copy modified relative to an electrode configuration of the tested program.

34. A device comprising:

means for receiving rating information and information describing at least one actual effect resulting from delivery of neurostimulation therapy according to the program for each of a plurality of neurostimulation programs previously tested on a patient;

means for receiving target therapy information from a user for a subsequent neurostimulation therapy session that describes a plurality of desired target therapy effects that the user desires to address in the subsequent neurostimulation therapy session;

means for comparing the actual effects for the previously tested programs to the desired target therapy effects that the user desires to address in the subsequent neurostimulation therapy session in response to receiving target therapy information from the user; and

means for automatically generating a plurality of program groups based on the rating information and the comparison, each of the program groups including a different subset of the neurostimulation programs tested on the patient, wherein each of the program groups includes two or more neurostimulation programs tested on the patient.