US 12,343,151 B2
Methods and apparatus for detection and imaging of epileptogenicity from scalp high-frequency oscillations
Bin He, Pittsburgh, PA (US); and Zhengxiang Cai, Pittsburgh, PA (US)
Assigned to CARNEGIE MELLON UNIVERSITY, Pittsburgh, PA (US)
Filed by CARNEGIE MELLON UNIVERSITY, Pittsburgh, PA (US)
Filed on Oct. 15, 2020, as Appl. No. 17/071,979.
Claims priority of provisional application 62/973,625, filed on Oct. 15, 2019.
Prior Publication US 2021/0106247 A1, Apr. 15, 2021
Int. Cl. A61B 5/00 (2006.01); A61B 5/291 (2021.01); A61B 5/316 (2021.01); A61B 5/372 (2021.01)
CPC A61B 5/316 (2021.01) [A61B 5/291 (2021.01); A61B 5/372 (2021.01); A61B 5/4094 (2013.01); A61B 5/6814 (2013.01); A61B 5/7207 (2013.01); A61B 5/7225 (2013.01); A61B 5/7246 (2013.01); A61B 5/7257 (2013.01)] 18 Claims
OG exemplary drawing
 
1. A method of identifying high-frequency oscillation events in EEG data of brain activity, the EEG data scalp-recorded from a plurality of channels, the method comprising:
eliminating noise from the EEG data by applying a filter to the EEG data;
segmenting the filtered EEG data into time periods centered around a spike to form data samples segmented by time;
detecting frequency events in the segmented samples;
selecting the frequency events that qualify as high frequency oscillations;
extracting features from the selected frequency events;
clustering the selected frequency events into a plurality of clusters;
identifying a putative spike ripple in a cluster of the plurality of clusters;
extracting a portion of data from the filtered EEG data corresponding to the cluster containing the identified putative spike ripple; and
projecting brain activity associated with the identified putative spike ripple onto a brain cortex model.