Patent №
US 11,850,054
Granted
2023-12-26
Filed 2020
Owner
COLORADO SEMINARY, WHICH OWNS AND OPERATES THE UNIVERSITY OF DENVER
Lab
—
AI components
3
ml · vision · hardware
Assignment
Recorded
Dataset
AIPD
2023_r1 edition
Application
16781929
Systems and methods are disclosed to detect and/or classify electrophysiological signals as motor events. In some embodiments, a method may include: recording a first plurality of electrophysiological signals from a first plurality of probes inserted into the left hemisphere of the brain; recording a second plurality of electrophysiological signals from a second plurality of probes inserted into the right hemisphere of the brain; pre-processing the first plurality of electrophysiological signals and the second plurality of electrophysiological signals; bipolar re-referencing the first plurality of electrophysiological signals and the second plurality of electrophysiological signals; determining an optimal pair of electrophysiological signals from the bipolar re-referenced first plurality of electrophysiological signals and the bipolar re-referenced second plurality of electrophysiological signals; matching the optimal pair of electrophysiological signals with a template; and detecting motor events from the matching.
AI classification
Ownership
COLORADO SEMINARY, WHICH OWNS AND OPERATES THE UNIVERSITY OF DENVER
assignment · 524930638
Assignors
MAHOOR, MOHAMMAD H., NIKETEGHAD, SOROUSH, HEBB, ADAM O., HANRAHAN, SARA J., NEDRUD, JOSHUA, GOLSHAN, HOSEIN M.
On an employer assignment, the assignors are typically the inventors.