公开(公告)号：WO2020146864A1

公开(公告)日：2020-07-16

申请号：PCT/US2020/013285

申请日：2020-01-13

Applicant: UNIVERSITY OF HOUSTON SYSTEM

Inventor： CONTRERAS-VIDAL, Jose Luis ,  KILICARSLAN, Atilla

IPC: A61B5/00 ,  A61B5/0476 ,  A61B5/0496

Abstract: A method removing artifacts from neural signals comprises receiving electroencephalography (EEG) data from an EEG system and providing the EEG data to a unified artifact removal framework for cleaning artifacts. The EEG data is provided to a first cleaning framework utilizing the first reference to clean first artifacts from the EEG data, and the outputting the EEG data from the first cleaning framework to a second cleaning framework. The second cleaning framework may operate in a similar manner utilizing second reference to clean second artifacts from the EEG data. This general process may be repeated as desired to clean various artifacts from EEG data, when a suitable reference for the artifacts to be removed is utilized. The frameworks utilize H∞ method or filtering involving a H∞ adapting rule to properly weigh the reference, and combining the subsequent output with incoming EEG data results in the desired removal of artifacts.