The Board of Trustees of the Leland Stanford Junior University
发明人:
Amit Etkin,Corey Keller,Wei Wu
申请号：
US16470946
公开号：
US20200054888A1
申请日:
2017.12.19
申请国别(地区):
US
年份:
2020
代理人:
摘要：
A method for machine learning based artifact rejection is provided. The method may include applying a machine learning model to identify artefactual independent components in transcranial magnetic stimulation electroencephalogram data collected during a transcranial magnetic stimulation procedure. Clean transcranial magnetic stimulation electroencephalogram data is generated by removing, from the transcranial magnetic stimulation electroencephalogram data, the artefactual independent components. Real-time adjustments to parameters of the transcranial magnetic stimulation procedure may be performed based on the clean transcranial magnetic stimulation electroencephalogram data. Related systems and articles of manufacture, including computer program products, are also provided.
