US 12,420,099 B2
Systems, apparatuses, and methods for facilitating electrode placement for spinal cord stimulation
Rahul Gole, Plainsboro, NJ (US); Sam Perlmutter, McMurray, PA (US); and Karthik Seshan, Ossining, NY (US)
Assigned to Cartis Neuro, Inc., Wilmington, DE (US)
Filed by Cartis Neuro, Inc., Wilmington, DE (US)
Filed on Oct. 21, 2024, as Appl. No. 18/921,893.
Claims priority of provisional application 63/545,132, filed on Oct. 20, 2023.
Prior Publication US 2025/0128071 A1, Apr. 24, 2025
Int. Cl. A61N 1/372 (2006.01); A61N 1/05 (2006.01); A61N 1/36 (2006.01)
CPC A61N 1/36139 (2013.01) [A61N 1/0553 (2013.01); A61N 1/36157 (2013.01); A61N 1/36171 (2013.01); A61N 1/36175 (2013.01); A61N 1/37247 (2013.01)] 28 Claims
OG exemplary drawing
 
1. An apparatus for facilitating electrode placement, the apparatus comprising:
a stimulation device, wherein the stimulation device comprises:
an electrode lead having a plurality of electrodes, wherein each electrode of the plurality of electrodes is configured to transmit an electrical impulse towards a target location;
a plurality of sensors, wherein each sensor of the plurality of sensors is configured to detect electrical activity data;
a computing device communicatively connected to the stimulation device and the plurality of sensors, wherein the computing device comprises:
a processor; and
a memory communicatively connected to the processor, wherein the memory contains instructions configurating the processor to:
implement a first stimulation protocol, wherein the first stimulation protocol comprises one or more stimulation parameters pertaining to at least an electrode of the plurality of electrodes;
receive the electrical activity data from at least a sensor of the plurality of sensors in response to the stimulation protocol;
optimize a quality of the electrical activity data;
extract the optimized electrical activity data;
analyze the optimized electrical activity data as a function of one or more predefined criteria, wherein analyzing the optimized electrical activity data comprises calculating a symmetrical activation measure; and
generate, using a user interface, a visual representation as a function of the analyzed electrical activity data.