Computational Intelligence and Deep Learning Methods for Neuro-rehabilitation Applications

Chapter 9: Artifacts removal techniques in EEG data for BCI applications: A survey

Srinath Akuthota, K. Raj Kumar, and Ravichander Janapati      Department of Electronics and Communication Engineering, SR University, Warangal, Telangana, India

Abstract

This research article intends to provide a thorough examination of brain–computer interface (BCI) and the more scientific discoveries that have resulted from it. This review’s ultimate goal is to provide extensive research in BCI systems as well as to focus on mainly artifact removal techniques or methods that are very recently used in BCI and important aspects of BCIs. Artifact removal methodologies were critical in its preprocessing. In addition, the review highlights the applicability, ...