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.
Top2. Literature Survey
Telecommunication system enables the use of up-to-date and effective EEG wave monitoring, as well as cognitive processing methods that allow for the effective implementation of this approach into educational and psychological investigations (Ravikumar et al., 2023). Ultimate goal of this study was to enhance and validate a method of employing EEG signal spectrum features in investigations of cognition in the mechanism of music perception using professional studies (Kanna, Chandrasekaran, Khafel et al, 2023). The study involved 23 participants in the study, all of whom were students at the University of Latvia and who were categorized as “non-music artists” or “music artists.” The EEG recording was synchronized with the musical sound by using the produced synchronization signal, which was supplied into one of the unipolar input channels of the EEG apparatus (Zhu et al., 2023). At 15-second intervals, the study investigates the underlying rhythm of EEG fluctuations in maximum bandwidth and wave amplitude power in processes connected to music human perception (Kanna & Prasath Alias Surendhar, 2023).
Meditation practitioners have long claimed that it improves emotion and attitude control and there has been a coordinated effort in recent years to provide a more precise explanation of the changes caused by meditation (Ren et al., 2023). Longitudinal studies have discovered structural reforms in cortical density and thickness in specific brain regions of meditation practice. Information based on factual measurement of the meditating brain using functional imaging modalities such as MEG or EEG is currently few (Kanna, Subha Ramya, Khafel et al, 2023). We show that data from diverse contemplation or restful states contain enough signatures of the brain state to enable distinction amongst modes using linear discriminant analysis (LDA) and we identify the brain regions which eventually contributes to the separation. The various parts of the cortex, thalamus, putamen nuclei all are differentiated conceptually (Singh et al., 2023).
Executive functions which are advanced mental strategies that allow for the generation of flexible and adaptive goal-directed activities, are governed by the frontal lobes (Kanna, Mutheeswaran, Jouda et al, 2023). The purpose of this study was to look at the relationship between frontal EEG coherence in the theta, alpha and beta bands and executive functioning in individuals (Luo et al., 2023). Participants in this study comprise 168 pupils. The Neuro Guide application was used to assess the interhemispheric and interhemispheric coherence of frontal regions after EEG recordings have been made. Participants were administered the Adult Executive Skills Questionnaire (Kanna, Mutheeswaran, Jabbar et al, 2023).