About this document
EEG Artifact Removal Techniques by Houichette Amira is a document available to read on EtoBox.
This document evaluates the effectiveness of Artifact Subspace Reconstruction (ASR) for automatic EEG artifact removal, particularly in real EEG data from a simulated driving experiment. The study finds that ASR can effectively remove transient and large-amplitude artifacts while preserving brain signals, with optimal cutoff parameters ranging from 10 to 100. The results indicate that ASR can be a powerful tool for both offline data analysis and online EEG applications, such as clinical monitoring and brain
- Author
- Houichette Amira
- Language
- EN