MOTOR TASK DETECTION USING ELECTROPHYSIOLOGICAL SIGNALS

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.

Machine learningVisionAI hardwareA61B 5/1124A61B 5/316A61B 5/374A61B 5/377A61N 1/0534A61N 1/36067A61B 5/11A61B 5/291+2 more

AI classification

Vision1.00
Machine learning0.93
AI hardware0.78
Speech0.41
Planning0.13
Knowledge representation0.00
Natural language0.00
Evolutionary computation0.00

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.

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