Invention Application
- Patent Title: MOTOR TASK DETECTION USING ELECTROPHYSIOLOGICAL SIGNALS
-
Application No.: US15369707Application Date: 2016-12-05
-
Publication No.: US20170156622A1Publication Date: 2017-06-08
- Inventor: Mohammad H. Mahoor , Soroush Niketeghad , Adam O. Hebb , Sara J. Hanrahan , Joshua Nedrud , Hosein M. Golshan
- Applicant: Colorado Seminary, which owns and operates the University of Denver
- Main IPC: A61B5/0484
- IPC: A61B5/0484 ; A61B5/04 ; A61N1/36 ; A61B5/11 ; A61N1/05 ; A61B5/00 ; A61B5/0478

Abstract:
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.
Public/Granted literature
- US10588534B2 Motor task detection using electrophysiological signals Public/Granted day:2020-03-17
Information query