公开(公告)号：US20170156622A1

公开(公告)日：2017-06-08

申请号：US15369707

申请日：2016-12-05

Applicant: Colorado Seminary, which owns and operates the University of Denver

Inventor： Mohammad H. Mahoor ,  Soroush Niketeghad ,  Adam O. Hebb ,  Sara J. Hanrahan ,  Joshua Nedrud ,  Hosein M. Golshan

IPC: A61B5/0484 ,  A61B5/04 ,  A61N1/36 ,  A61B5/11 ,  A61N1/05 ,  A61B5/00 ,  A61B5/0478

CPC classification number: A61B5/0484 ,  A61B5/04012 ,  A61B5/0478 ,  A61B5/11 ,  A61B5/4082 ,  A61N1/0534 ,  A61N1/36067

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.

公开(公告)号：US20200245891A1

公开(公告)日：2020-08-06

申请号：US16781929

申请日：2020-02-04

Applicant: Colorado Seminary, which owns and operates the University of Denver

Inventor： Mohammad H. Mahoor ,  Soroush Niketeghad ,  Adam O. Hebb ,  Sara J. Hanrahan ,  Joshua Nedrud ,  Hosein M. Golshan

IPC: A61B5/0484 ,  A61N1/36 ,  A61N1/05 ,  A61B5/04

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.

公开(公告)号：US10588534B2

公开(公告)日：2020-03-17

申请号：US15369707

申请日：2016-12-05

Applicant: Colorado Seminary, which owns and operates the University of Denver

Inventor： Mohammad H. Mahoor ,  Soroush Niketeghad ,  Adam O. Hebb ,  Sara J. Hanrahan ,  Joshua Nedrud ,  Hosein M. Golshan

IPC: A61B5/04 ,  A61B5/0484 ,  A61N1/05 ,  A61N1/36 ,  A61B5/00 ,  A61B5/0478 ,  A61B5/11

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.