	US 12,280,259 B2
	Systems and methods for minimizing response variability of spinal cord stimulation
Warren Grill, Durham, NC (US); and John Gilbert, Durham, NC (US)
Assigned to DUKE UNIVERSITY, Durham, NC (US)
Filed by DUKE UNIVERSITY, Durham, NC (US)
Filed on Mar. 10, 2022, as Appl. No. 17/691,765.
Application 17/691,765 is a division of application No. 16/217,787, filed on Dec. 12, 2018, granted, now 11,298,546.
Claims priority of provisional application 62/597,606, filed on Dec. 12, 2017.
Prior Publication US 2022/0193418 A1, Jun. 23, 2022
Int. Cl. A61N 1/36 (2006.01); A61N 1/05 (2006.01); G16H 20/30 (2018.01); A61N 1/372 (2006.01)

CPC A61N 1/36185 (2013.01) [A61N 1/0551 (2013.01); A61N 1/36071 (2013.01); A61N 1/36135 (2013.01); A61N 1/36146 (2013.01); G16H 20/30 (2018.01); A61N 1/37241 (2013.01)]

15 Claims

1. A system for delivering spinal cord stimulation (SCS) to a subject to reduce pain, the system comprising:

an electrode sized and configured for implantation in proximity to neural tissue; and

a pulse generator coupled to the electrode, the pulse generator including a power source comprising a battery and a microprocessor coupled to the battery, wherein the pulse generator is configured to deliver an optimized SCS pattern comprising non-regular temporal patterns with one or more varying inter-pulse intervals at a frequency ranging from 1 Hz to 200 Hz capable of reducing pain;

wherein the optimized SCS pattern is generated based on predetermined performance criteria comprising at least one of i) reduction in pain score; ii) SCS pattern efficiency; and/or iii) variance of pain score reduction across different pain states corresponding to variance of a response to SCS across a population of computational models of a neuronal network.

11. A method for delivering spinal cord stimulation (SCS) to reduce pain in a subject using the system of claim 1, the method comprising:

programming the pulse generator to output the optimized SCS pattern; and

delivering the SCS pattern to a subject to reduce pain.