US 11,850,054 B2
Motor task detection using electrophysiological signals
Mohammad H. Mahoor, Lone Tree, CO (US); Soroush Niketeghad, Los Angeles, CA (US); Adam O. Hebb, Englewood, CO (US); Sara J. Hanrahan, Denver, CO (US); Joshua Nedrud, Aurora, CO (US); and Hosein M. Golshan, Denver, CO (US)
Assigned to University of Denver, Denver, CO (US)
Filed by University of Denver, Denver, CO (US)
Filed on Feb. 4, 2020, as Appl. No. 16/781,929.
Application 16/781,929 is a division of application No. 15/369,707, filed on Dec. 5, 2016, granted, now 10,588,534.
Claims priority of provisional application 62/263,173, filed on Dec. 4, 2015.
Prior Publication US 2020/0245891 A1, Aug. 6, 2020
This patent is subject to a terminal disclaimer.
Int. Cl. A61B 5/00 (2006.01); A61B 5/372 (2021.01); A61N 1/36 (2006.01); A61B 5/377 (2021.01); A61N 1/05 (2006.01); A61B 5/316 (2021.01); A61B 5/11 (2006.01); A61B 5/291 (2021.01)
CPC A61B 5/377 (2021.01) [A61B 5/316 (2021.01); A61N 1/0534 (2013.01); A61N 1/36067 (2013.01); A61B 5/11 (2013.01); A61B 5/291 (2021.01); A61B 5/4082 (2013.01)] 1 Claim
OG exemplary drawing
 
1. A method for using electrophysiological signals to detect motor events by a subject, the method omprising:
using deep brain stimulation devices implanted in a left hemisphere of a brain of the subject to measure left local field potential (LFP) signals from the left hemisphere of the brain;
using deep brain stimulation devices implanted in a right hemisphere of the brain of the subject to measure right LFP signals from the right hemisphere of the brain; and
with a processor:
bipolar re-referencing each of the left LFP signals and the right LFP signals to produce a plurality of bilateral pairs of bipolar re-referenced left and right LFP signals;
using nonlinear regression to estimate nonlinear correlation between the plurality of bilateral pairs of bipolar re-referenced left and right LFP signals;
determining an optimal pair of electrophysiological signals from the plurality of bilateral pairs of bipolar re-referenced left and right LFP signals;
matching the optimal pair of electrophysiological signals with a template; and
detecting motor events from the matching.