US 11,806,535 B2
Neuromodulation programming tools for neuromodulator replacement
Leon Mauricio Juarez Paz, Berlin (DE)
Assigned to Boston Scientific Neuromodulation Corporation, Valencia, CA (US)
Filed by Boston Scientific Neuromodulation Corporation, Valencia, CA (US)
Filed on Oct. 29, 2020, as Appl. No. 17/084,049.
Claims priority of provisional application 62/928,696, filed on Oct. 31, 2019.
Prior Publication US 2021/0128923 A1, May 6, 2021
Int. Cl. A61N 1/36 (2006.01); A61N 1/372 (2006.01)
CPC A61N 1/36189 (2013.01) [A61N 1/36153 (2013.01); A61N 1/36157 (2013.01); A61N 1/36185 (2013.01); A61N 1/37247 (2013.01)] 20 Claims
OG exemplary drawing
 
1. A method implemented using a first neuromodulator programmed with a first set of modulation parameter settings to generate at least a first modulation field at one or more targets, the method comprising:
receiving the first set of modulation parameter settings for the first neuromodulator;
replacing the first neuromodulator with a second neuromodulator, wherein the first and second neuromodulators are different models that use different neuromodulation field generation technology and that have different programmable parameters to program the different technology;
determining, using a processor configured to execute a programmed set of instructions and using the first set of modulation parameter settings, a second set of modulation parameter settings for the second neuromodulator to generate at least a second modulation field that is similar to the at least the first modulation field, generated by the first neuromodulator, at the one or more targets;
programming the second neuromodulator with the second set of modulation parameters; and
delivering neuromodulation using the second neuromodulator programmed with the second set of modulation parameters,
wherein the receiving the first set of modulation parameter settings includes:
using a camera to capture an image from a programmer screen for a programmer of the first neuromodulator wherein the programmer screen includes at least one setting for the first set of modulation parameter settings; and
automatically recognizing the at least one setting from the image and use the at least one setting from the image in determining the second set of modulation parameter settings for the second neuromodulator.