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Smart Detection and Removal of Artifacts in Cognitive Signals Using Biomedical Signal Intelligence Applications
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Author(s): R. Kishore Kanna (Department of Biomedical Engineering, Jerusalem College of Engineering (Autonomous), Chennai, India), K. Yamuna Devi (Easwari Engineering College, India), R. Gomalavalli (Siddharth Institute of Engineering and Technology, India)and A. Ambikapathy (Galgotias College of Engineering and Technology, Gr. Noida, India)
Copyright: 2024
Pages: 22
Source title:
Quantum Innovations at the Nexus of Biomedical Intelligence
Source Author(s)/Editor(s): Vishal Dutt (AVN Innovations Pvt. Ltd., India), Abhishek Kumar (Department of CSE, UIE, Chandigarh University, Punjab, India), Sachin Ahuja (Chandigarh University, India), Anupam Baliyan (Geeta University, India)and Narayan Vyas (AVN Innovations Pvt. Ltd., India)
DOI: 10.4018/979-8-3693-1479-1.ch013
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Abstract
A complete and detailed literature evaluation concentrating on the detection and elimination of artifacts from EEG data was described in the preceding chapter. Issue-wise solution suggestions and their limitations were also studied, which eventually led to finding the gaps in the recommended task and scope of the study activity. In this chapter, the complete explanation of system design and its implementation is addressed. The principal objective of the proposed research is to identify and eliminate the undesired signals known as artifacts from the collected EEG data. This chapter spoke about the design of the system and its implementation. In this chapter specifics of EEG acquisition methods have been discussed. The initial stage in EEG signal processing is recording EEG data from the individuals. It also looks into the categorization of EEG data by sort. The obtained EEG data was sorted into two categories: normal and epileptic.
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