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Design and Implementation for EEG Artifact Detection and Removal Technique for Neuro Training Application: Cognitive Signal Conditioning
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Author(s): R. Kishore Kanna (Jerusalem College of Engineering (Autonomous), India), G. Jyothi (B.V. Raju Institute of Technology, India), A. Ambikapathy (Galgotias College of Engineering and Technology, India)and U. Mutheeswaran (Vels Institute of Science, Technology, and Advanced Studies, India)
Copyright: 2024
Pages: 14
Source title:
Intelligent Solutions for Cognitive Disorders
Source Author(s)/Editor(s): Dipti Jadhav (D. Y. Patil University (Deemed), Navi Mumbai, India & Ramrao Adik Institute of Technology, India), Pallavi Vijay Chavan (D. Y. Patil University (Deemed), Navi Mumbai, India & Ramrao Adik Institute of Technolgy, India), Sangita Chaudhari (D. Y. Patil University (Deemed), Navi Mumbai, India & Ramrao Adik Institute of Technology, India)and Idongesit Williams (CMI, Denmark & Aalborg University, Copenhagen, Denmark)
DOI: 10.4018/979-8-3693-1090-8.ch012
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Abstract
A complete and rigorous literature evaluation focused on the detection and elimination of artifacts from EEG signals was presented in the preceding chapter. Issue-wise solution approaches and their limitations were also discussed which ultimately resulted in identifying the gaps in the proposed work and scope of the research work. In this chapter, the detailed explanation of system design and its implementation is discussed. The main focus of the anticipated research is to identify and remove the unwanted signals known as artifacts from the recorded EEG signals.
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