Electrical and activation field models for programming a stimulation lead with complex electrode array geometry

• US 8,452,415 B2
• Filed: 10/31/2006
• Issued: 05/28/2013
• Est. Priority Date: 02/24/2006
• Status: Active Grant

• Current Assignee: Medtronic Incorporated (Medtronic Plc)
• Original Assignee: Medtronic Incorporated (Medtronic Plc)
• Inventors: Goetz, Steven M., Stone, Richard T., Ball, Warren W., Wahlstrand, Carl D.
• Primary Examiner(s): STOKLOSA, JOSEPH A
• Application Number:
  US11/591,187
• Publication Number:
  US 20070203540A1
• Time in Patent Office: 2,401 Days
• Field of Search: 607/62, 607/116, 607/118, 607/45, 607 30- 32, 607 59- 60, 607/117
• US Class Current: 607/116
• CPC Class Codes: A61N 1/0529 Electrodes for brain stimulation
• CPC Class Codes: A61N 1/0531 Brain cortex electrodes
• CPC Class Codes: A61N 1/0534 Electrodes for deep brain stimulation
• CPC Class Codes: A61N 1/0553 Paddle shaped electrodes, e.g. for laminotomy
• CPC Class Codes: A61N 1/36071 Pain
• CPC Class Codes: A61N 1/36082 Cognitive or psychiatric applications, e.g. dementia or Alzheimer's disease
• CPC Class Codes: A61N 1/36185 Selection of the electrode configuration
• CPC Class Codes: A61N 1/37247 User interfaces, e.g. input or presentation means

Abstract

The disclosure is directed to programming implantable stimulators to deliver stimulation energy via one or more implantable leads having complex electrode array geometries. A programmer is configured to generate an electrical field model from selected stimulation parameters and patient anatomy data. The electrical field model indicates how the electrical field propagation would occur in the patient during therapy. In addition, the programmer may be configured to generate an activation field model from the electrical field model and a neuron model. The activation field indicates which neurons within the electrical field will be activated during the therapy. Either of these field models may be presented to the user via a user interface that also displays a representation of the lead implanted within the patient. The user interface may allow the user to adjust the stimulation therapy by manipulating displayed field or activation model representations.

Claims

1. A method comprising:

receiving, by a programmer, a patient-specific patient anatomy data set that describes at least one characteristic of patient tissue proximate to an electrical stimulation lead having a complex electrode array geometry implanted within a patient, wherein the stimulation lead comprises a plurality of non-contiguous electrode segments located at different angular positions about a circumference of the lead and different axial positions along a length of the lead;

receiving, by the programmer, user input that defines stimulation parameter values;

generating, by the programmer, a stimulation field model that represents where electrical stimulation will propagate from the electrical stimulation lead based upon the patient-specific patient anatomy data set and the stimulation parameter values;

displaying, by the programmer, the stimulation field model in conjunction with a representation of the electrical stimulation lead, the representation illustrating the complex electrode array geometry;

receiving, by the programmer, stimulation field input from a user that modifies at least one of a size, shape or location of the stimulation field model relative to the representation of the electrical stimulation lead, wherein receiving stimulation field input comprises receiving input that drags a boundary of the stimulation field; and

determining, by the programmer, at least one new stimulation parameter value based on the modification of the stimulation field model.

2. The method of claim 1, wherein receiving user input that defines stimulation parameter values comprises receiving selection of one or more of the electrode segments of the lead via interaction with the representation of the lead.

3. The method of claim 1, wherein receiving user input that defines stimulation parameter values comprises receiving user input drawing a stimulation field on the representation of the lead.

4. The method of claim 1, wherein receiving user input that defines stimulation parameter values comprises:

presenting a representation of a stimulation field on the representation of the lead; and

receiving user input modifying the representation of the stimulation field.

5. The method of claim 1, wherein displaying the stimulation field model in conjunction with a representation of the electrical stimulation lead comprises displaying the stimulation field model in conjunction with a side view and a cross-sectional view of the representation of the lead.

6. The method of claim 1, wherein displaying the stimulation field model in conjunction with a representation of the electrical stimulation lead comprises displaying the stimulation field model in conjunction with at least one of a side view and a concentric axial view of the representation of the lead.

7. The method of claim 1, wherein displaying the stimulation field model in conjunction with a representation of the electrical stimulation lead comprises displaying the stimulation field model in conjunction with an unwrapped two-dimensional array view of the representation of the lead.

8. The method of claim 1, wherein receiving, by the programmer, stimulation field input from a user that modifies at least one of a size, shape or location of the stimulation field model relative to the representation of the electrical stimulation lead comprises receiving input that drags the stimulation field from a first location to a second location.

9. The method of claim 1, further comprising:

generating a neuron model that describes at least one characteristic of patient neural tissue proximate to the electrical stimulation lead implanted within the patient;

generating an activation field model that indicates which neural structures of the patient are activated by applying the stimulation field model to the neuron model; and

displaying the activation field model in conjunction with the representation of the lead.

10. The method of claim 9, further comprising:

receiving activation field input from a user that modifies at least one of the size, shape or location of the activation field model relative to the representation of the electrical stimulation lead; and

determining at least one new stimulation parameter value based on the modification of the activation field model.

11. The method of claim 9, wherein:

the at least one characteristic of patient neural tissue described by the neuron model comprises threshold action potentials of particular neurons of the patient-specific patient anatomy data set; and

the activation field model indicates which neurons are above threshold after application of the stimulation field model to the neuron model.

12. A system comprising:

a communications module configured to receive a patient-specific patient anatomy data set that describes at least one characteristic of patient tissue proximate to an electrical stimulation lead having a complex electrode array geometry implanted within a patient, wherein the stimulation lead comprises a plurality of non-contiguous electrode segments located at different angular positions about a circumference of the lead and different axial positions along a length of the lead;

a user interface configured to receive user input that defines stimulation parameter values; and

a processor configured to;

generate a stimulation field model that represents where electrical stimulation will propagate from the electrical stimulation lead based upon the patient-specific patient anatomy data set and the stimulation parameter values;

display, via the user interface, the stimulation field model in conjunction with a representation of the electrical stimulation lead, the representation illustrating the complex electrode array geometry;

receive, via the user interface, stimulation field input that modifies at least one of a size, shape or location of the stimulation field model relative to the representation of the electrical stimulation lead, wherein the stimulation field input drags a boundary of the stimulation field; and

determine at least one new stimulation parameter value based on the modification of the stimulation field model.

13. The system of claim 12, wherein the user interface is configured to receive selection of one or more of the electrode segments of the lead via interaction with the representation of the lead as user input that defines stimulation parameter values.

14. The system of claim 12, wherein the user interface is configured to receive user input drawing a stimulation field on the representation of the lead as user input that defines stimulation parameter values.

15. The system of claim 12, wherein the user interface is configured to present a representation of a stimulation field on the representation of the lead, and receive user input modifying the representation of the stimulation field as user input that defines stimulation parameter values.

16. The system of claim 12, wherein the user interface is configured to display the stimulation field model in conjunction with a side view and a cross-sectional view of the representation of the lead.

17. The system of claim 12, wherein the user interface is configured to display the stimulation field model in conjunction with at least one of a side view and a concentric axial view of the representation of the lead.

18. The system of claim 12, wherein the user interface is configured to display the stimulation field model in conjunction with an unwrapped two-dimensional array view of the representation of the lead.

19. The system of claim 12, wherein the user interface comprises at least one of a touchscreen or a pointing device.

20. The system of claim 12, further comprising a programmer that comprises the communications module, the user interface and the processor.

21. The system of claim 20, wherein the programmer comprises at least one of a patient programmer or a clinician programmer.

22. The system of claim 12, wherein the processor is configured to:

generate a neuron model that describes at least one characteristic of patient neural tissue proximate to the electrical stimulation lead implanted within the patient;

generate an activation field model that indicates which neural structures of the patient are activated by applying the stimulation field model to the neuron model; and

display the activation field model in conjunction with the representation of the lead via the user interface.

23. The system of claim 22, wherein:

the at least one characteristic of patient neural tissue described by the neuron model comprises threshold action potentials of particular neurons of the patient-specific patient anatomy data set; and

the activation field model indicates which neurons are above threshold after application of the stimulation field model to the neuron model.

24. The system of claim 22, wherein the processor is configured to:

receive activation field input from a user that modifies at least one of the size, shape or location of the activation field model relative to the representation of the electrical stimulation lead; and

determine at least one new stimulation parameter value based on the modification of the activation field model.

25. A non-transitory computer-readable storage medium comprising instructions that cause a processor to:

receive a patient-specific patient anatomy data set that describes at least one characteristic of patient tissue proximate to an electrical stimulation lead having a complex electrode array geometry implanted within a patient, wherein the stimulation lead comprises a plurality of non-contiguous electrode segments located at different angular positions about a circumference of the lead and different axial positions along a length of the lead;

receive user input that defines stimulation parameter values;

generate a stimulation field model that represents where electrical stimulation will propagate from the electrical stimulation lead based upon the patient-specific patient anatomy data set and the stimulation parameter values;

display the stimulation field model in conjunction with a representation of the electrical stimulation lead, the representation illustrating the complex electrode array geometry;

receive stimulation field input from a user that modifies at least one of the size, shape or location of the stimulation field model relative to the representation of the electrical stimulation lead, wherein the stimulation field input drags a boundary of the stimulation field; and

determine at least one new stimulation parameter value based on the modification of the stimulation field model.

26. The non-transitory computer-readable storage medium of claim 25, further comprising instructions that cause a processor to:

generate a neuron model that describes at least one characteristic of patient neural tissue proximate to the electrical stimulation lead implanted within the patient;

generate an activation field model that indicates which neural structures of the patient are activated by applying the stimulation field model to the neuron model; and

display the activation field model in conjunction with the representation of the lead.

27. The non-transitory computer-readable storage medium of claim 26, wherein:

the at least one characteristic of patient neural tissue described by the neuron model comprises threshold action potentials of particular neurons of the patient-specific patient anatomy data set; and

the activation field model indicates which neurons are above threshold after application of the stimulation field model to the neuron model.

28. A method comprising:

receiving, by a programmer, a patient-specific patient anatomy data set that describes at least one characteristic of patient neural tissue proximate to an electrical stimulation lead having a complex electrode array geometry implanted within a patient, wherein the stimulation lead comprises a plurality of non-contiguous electrode segments located at different angular positions about a circumference of the lead and different axial positions along a length of the lead;

receiving, by the programmer, user input that defines stimulation parameter values;

generating, by the programmer, an activation field model that indicates which neural structures of the patient are activated based on the patient-specific patient anatomy data set and the stimulation parameter values;

displaying, by the programmer the activation field model over a representation of the lead, the representation illustrating the complex electrode array geometry;

receiving, by the programmer, user input that modifies at least one of a size, shape or location of the activation field model relative to the representation of the electrical stimulation lead, wherein the user input drags a boundary of the activation field model; and

determining, by the programmer, at least one new stimulation parameter value based on the modification of the activation field model.

29. The method of claim 28, wherein:

the at least one characteristic of patient neural tissue described by the patient-specific patient anatomy data set comprises threshold action potentials of particular neurons of the patient-specific patient anatomy data set;

the activation field model indicates which neurons are above threshold after application of a stimulation field model to the patient-specific patient anatomy data set; and

the stimulation field model represents where electrical stimulation will propagate from the electrical stimulation lead based upon the stimulation parameter values.

30. A system comprising:

a communications module configured to receive a patient-specific patient anatomy data set that describes at least one characteristic of patient neural tissue proximate to an electrical stimulation lead having a complex electrode array geometry implanted within a patient, wherein the stimulation lead comprises a plurality of non-contiguous electrode segments located at different angular positions about a circumference of the lead and different axial positions along a length of the lead;

a user interface configured to receive user input that defines stimulation parameter values; and

a processor configured to generate an activation field model that indicates which neural structures of the patient are activated based on the patient-specific patient anatomy data set and the stimulation parameter values, and display, via the user interface, the activation field model on a representation of the lead, the representation illustrating the complex electrode array geometry;

wherein the processor is configured to receive user input that modifies, by dragging a boundary of the activation field model, at least one of the size, shape or location of the activation field model relative to the representation of the lead, and determine at least one new stimulation parameter value based on the modification of the activation field model.

31. The system of claim 30, wherein:

the at least one characteristic of patient neural tissue described by the patient-specific patient anatomy data set comprises threshold action potentials of particular neurons of the patient-specific patient anatomy data set;

the activation field model indicates which neurons are above threshold after application of a stimulation field model to the patient-specific patient anatomy data set; and

the stimulation field model represents where electrical stimulation will propagate from the electrical stimulation lead based upon the stimulation parameter values.

32. A non-transitory computer-readable storage medium comprising instructions that cause a processor to:

receive a patient-specific patient anatomy data set that describes at least one characteristic of patient neural tissue proximate to an electrical stimulation lead having a complex electrode array geometry implanted within a patient, wherein the stimulation lead comprises a plurality of non-contiguous electrode segments located at different angular positions about a circumference of the lead and different axial positions along a length of the lead;

receive user input that defines stimulation parameter values;

generating an activation field model that indicates which neural structures of the patient are activated based on the patient-specific patient anatomy data set and the stimulation parameter values;

display the activation field model over a representation of the lead, the representation illustrating the complex electrode array geometry;

receive user input that modifies at least one of a size, shape or location of the activation field model relative to the representation of the electrical stimulation lead, wherein the user input drags a boundary of the activation field model; and

determine at least one new stimulation parameter value based on the modification of the activation field model.

33. The non-transitory computer-readable storage medium of claim 32, wherein:

the at least one characteristic of patient neural tissue described by the patient-specific patient anatomy data set comprises threshold action potentials of particular neurons of the patient-specific patient anatomy data set;

the activation field model indicates which neurons are above threshold after application of a stimulation field model to the patient-specific patient anatomy data set; and

the stimulation field model represents where electrical stimulation will propagate from the electrical stimulation lead based upon the stimulation parameter values.

34. A method comprising:

receiving, by a programmer, a patient-specific patient anatomy data set that describes at least one characteristic of patient tissue proximate to an electrical stimulation lead having a complex electrode array geometry implanted within a patient, wherein the stimulation lead comprises a plurality of non-contiguous electrode segments located at different angular positions about a circumference of the lead and different axial positions along a length of the lead;

receiving, by the programmer, user input that defines stimulation parameter values;

generating, by the programmer, a stimulation field model that represents where electrical stimulation will propagate from the electrical stimulation lead based upon the patient-specific patient anatomy data set and the stimulation parameter values;

displaying, by the programmer, the stimulation field model in conjunction with a representation of the electrical stimulation lead, the representation illustrating the complex electrode array geometry;

receiving, by the programmer, stimulation field input from a user that modifies at least one of a size, shape or location of the stimulation field model relative to the representation of the electrical stimulation lead, wherein receiving stimulation field input comprises receiving input that drags the stimulation field from a first location to a second location; and

determining, by the programmer, at least one new stimulation parameter value based on the modification of the stimulation field model.