US 12,419,562 B2
Concentric ring electrodes for improved accuracy of Laplacian estimation
Oleksandr Makeyev, Tsaile, AZ (US)
Assigned to Diné College, Tsaile, AZ (US)
Filed by Diné College, Tsaile, AZ (US)
Filed on Jun. 21, 2021, as Appl. No. 17/353,095.
Application 17/353,095 is a continuation of application No. 17/067,480, filed on Oct. 9, 2020, granted, now 11,045,132.
Prior Publication US 2022/0110573 A1, Apr. 14, 2022
Int. Cl. A61B 5/291 (2021.01)
CPC A61B 5/291 (2021.01) [A61B 2562/0209 (2013.01); A61B 2562/0215 (2017.08); A61B 2562/04 (2013.01)] 20 Claims
OG exemplary drawing
 
1. A neurophysiological monitoring system comprising:
a display device;
an electrode device comprising a plurality of electrodes, the plurality of electrodes comprising a first ring electrode having a first width and a second ring electrode having a second width, the second ring electrode concentric with the first ring electrode, and wherein the first width is different from the second width;
a controller connected to the electrode device; and
a computing device connected to the controller and the display device, the computing device comprising one or more processors and one or more memories storing instructions that, when executed by the one or more processors, cause the computing device to at least:
receive geometrical information specifying a geometrical configuration of the electrode device, the geometrical configuration defining a quantity of electrodes of the plurality of electrodes and dimensional relationships between a portion of the plurality of electrodes including the first ring electrode and the second ring electrode;
receive, from the controller, an electrostatic potential signal corresponding to an electrostatic potential measured between at least two electrodes of the plurality of electrodes;
determine, using a finite dimension model and based at least in part on the geometrical configuration, a set of coefficients of a surface Laplacian estimate associated with the electrostatic potential signal; and
determine, using the finite dimension model and based at least upon the set of coefficients and the electrostatic potential signal, the surface Laplacian estimate.