Therapy program modification based on a therapy field model

Patent metadata

Field	Value
Publication number	US-9789252-B2
Application number	US-98975409-A
Country	US
Kind code	B2
Filing date	Jan 22, 2009
Priority date	Apr 29, 2008
Publication date	Oct 17, 2017
Grant date	Oct 17, 2017

Abstract

Techniques for modeling therapy fields for therapy delivered by medical devices are described. Each therapy field model is based on a set of therapy parameters and represents where therapy will propagate from the therapy system delivering therapy according to the set of therapy parameters. Therapy field models may be useful in guiding the modification of therapy parameters. As one example, a processor compares an algorithmic model of a therapy field to a reference therapy field and adjusts at least one therapy parameter based on the comparison. As another example, a processor adjusts at least one therapy parameter to increase an operating efficiency of the therapy system while substantially maintaining the modeled therapy field.

First claim

The invention claimed is:

1. A method comprising:
determining, by a processor, a first therapy program that comprises a set of therapy parameters values;
generating, by the processor, an algorithmic model of a therapy field based on the first therapy program, the algorithmic model representing where therapy will propagate from a therapy system delivering therapy according to the first therapy program; and
automatically determining, by the processor, a second therapy program that increases an operating efficiency of the therapy system while substantially maintaining the therapy field.

2. The method of claim 1 , further comprising controlling, by the processor, the therapy system to deliver therapy to a patient according to the second therapy program.

3. The method of claim 1 , wherein the algorithmic model of the therapy field comprises a first algorithmic model of a first therapy field, the method further comprising generating, by the processor, a second algorithmic model of a second therapy field representing where therapy will propagate from the therapy system based on the second therapy program.

4. The method of claim 3 , further comprising presenting the first algorithmic model of the first therapy field and the second algorithmic model of the second therapy field to a user.

5. The method of claim 1 , wherein automatically determining the second therapy program comprises automatically determining the second therapy program based on at least one of an amplitude-duration curve, a dose-response curve, a strength-duration curve, or a three-dimensional (3D) depolarization field model.

6. The method of claim 5 , wherein the at least one amplitude-duration curve, dose-response curve, strength-duration curve, or 3D depolarization field model is configured based on at least one of a patient condition, a desired therapeutic outcome, or a tissue characteristic of a target delivery site.

7. The method of claim 1 , wherein the second therapy program increases the operating efficiency of the therapy system by at least one of decreasing power consumption or operating at an efficient amplitude determined based on a voltage multiplier level.

8. The method of claim 1 , wherein the algorithmic model of the therapy field comprises a first algorithmic model of a first therapy field, the method further comprising generating a second algorithmic model of a second therapy field based on the second therapy program, wherein substantially maintaining the therapy field comprises maintaining a difference between the first therapy field and the second therapy field below a threshold value, wherein the threshold value defines a maximum allowable change in at least one field characteristic.

9. The method of claim 8 , wherein the at least one field characteristic comprises at least one of a centroid, a volume, an amplitude, a width at a defined amplitude, or a charge density.

10. The method of claim 8 , wherein the threshold value comprises a weighted threshold of a plurality of field characteristics.

11. The method of claim 1 , wherein generating the algorithmic model of the therapy field comprises representing where therapy will propagate from the therapy system based upon the first therapy program and an anatomical data set.

12. The method of claim 11 , wherein the anatomical data set comprises at least one of an anatomical image of a patient, a reference anatomical image, an anatomical atlas, or a tissue conductivity data set.

13. The method of claim 1 , wherein the therapy parameters comprise at least one of an electrode combination, pulse width, frequency or amplitude.

14. The method of claim 1 , wherein the algorithmic model of the therapy field comprises at least one of a two dimensional algorithmic model or a three dimensional algorithmic model.

15. A therapy system comprising:
a medical device configured to deliver a therapy to a patient according to a first therapy program that comprises a first set of therapy parameters; and
a processor configured to:
generate an algorithmic model of a therapy field based on the first therapy program, wherein the algorithmic model represents where the therapy will propagate from the medical device delivering therapy according to the first therapy program, and
automatically determine a second therapy program that increases an operating efficiency of the therapy system while substantially maintaining the therapy field.

16. The therapy system of claim 15 , wherein the medical device is configured to deliver therapy from the therapy system to the patient according to the second therapy program.

17. The therapy system of claim 15 , wherein the algorithmic model of the therapy field comprises a first algorithmic model of a first therapy field, and wherein the processor is configured to generate a second algorithmic model of a second therapy field that represents where the therapy will propagate from the therapy system based on the second therapy program.

18. The therapy system of claim 17 , further comprising a user interface that presents the first algorithmic model of the first therapy field and the second algorithmic model of the second therapy field to a user.

19. The therapy system of claim 15 , wherein the processor is configured to automatically determine the second therapy program based on at least one of at least one of an amplitude-duration curve, a dose-response curve, a strength-duration curve, or a three-dimensional (3D) depolarization field model.

20. The therapy system of claim 19 , wherein the at least one amplitude-duration curve, dose-response curve, strength-duration curve, or 3D depolarization field model is based on at least one of a patient condition, a desired therapeutic outcome, or a tissue characteristic of a target delivery site.

21. The therapy system of claim 15 , wherein the second therapy program increases the operating efficiency of the therapy system by at least one of decreasing power consumption or operating at an efficient amplitude determined based on voltage multiplier levels.

22. The therapy system of claim 15 , wherein the algorithmic model of the therapy field comprises a first algorithmic model of a first therapy field, wherein the processor is configured to generate a second algorithmic model of a second therapy field based on the second therapy program, and wherein substantially maintaining the therapy field comprises maintaining a difference between the first therapy field and the second therapy field below a threshold value, wherein the threshold value comprises a maximum allowable change in at least one field characteristic.

23. The therapy system of claim 22 , wherein the at least one field characteristic comprises at least one of a centroid, an area, an amplitude, a width at a defined amplitude, or a charge density.

24. The therapy system of claim 22 , wherein the threshold value comprises a weighted threshold of a plurality of field characteristics.

25. The therapy system of claim 15 , wherein the processor is configured to generate the algorithmic model of the therapy field based upon the set of therapy parameters and an anatomical data set.

26. The therapy system of claim 15 , wherein the medical device comprises the processor.

27. The therapy system of claim 15 , further comprising a medical device programmer that comprises the processor.

28. The therapy system of claim 15 , wherein the medical devic

Assignees

• Gerber Martin T
• Rondoni John C
• Medtronic Inc

Inventors

• Gerber Martin T
• Rondoni John C

Classifications

• G06F19/325

  Physics · mapped topic

• A61N1/36082

  Cognitive or psychiatric applications, e.g. dementia or Alzheimer's disease · CPC title

• A61N1/36007

  of urogenital or gastrointestinal organs, e.g. for incontinence control · CPC title

• A61N1/37235

  Aspects of the external programmer · CPC title

• A61N1/36071

  Pain · CPC title