ALEXANDRIA, Va., July 15 -- United States Patent no. 12,661,054, issued on June 23, was assigned to CARNEGIE MELLON UNIVERSITY (Pittsburgh).
"System and method for deep learning for tracking cortical spreading depression using EEG" was invented by Alireza Chamanzar (Pittsburgh), Xujin Liu (Pittsburgh), Lavender Y. Jiang (Pittsburgh), Kimon A. Vogt (Pittsburgh), Jose M.F. Moura (Pittsburgh) and Pulkit Grover (Pittsburgh).
According to the abstract* released by the U.S. Patent & Trademark Office: "Disclosed herein is a system and method implementing an automated, generalizable model for tracking cortical spreading depressions using EEG. The model comprises convolutional neural networks and graph neural networks to leverage both the spatial ...