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2016-158 Automated and Unsupervised Method for Electroencephalogram Artifact Minimization and Rejection

SUMMARY UCLA researchers have developed an automated and unsupervised digital signal processing method to quickly and efficiently minimize and reject artifacts from scalp Electroencephalogram (EEG) and intracranial EEG recordings. BACKGROUND Electroencephalogram (EEG) is designed to record cerebral activity. However, in addition to cerebral activity,...

Published: 7/19/2023 | Inventor(s): Shennan Weiss

Keywords(s): Monitoring And Recording Systems, Software, Software & Algorithms

Category(s): Software & Algorithms, Medical Devices > Monitoring And Recording Systems, Software & Algorithms > Programs