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- W3208604009 abstract "The electromagnetic waves or field potentials are generated by the activation of a population of neurons. These potentials are projected towards all the sensors or electrodes which are attached to the scalp and measured through Electroencephalography (EEG) sensors. These projections are mixing the source activities through the scalp and this over scalp is known as Volume-Conduction (VC). The signals are dominated by the dynamics of low spatial frequency components which are spread over all electrodes. In the literature, different spatial filtering techniques are introduced to cognitive electrophysiology for the separation of local source signals and the reflections of volume conduction artifacts. In this study, we have used two spatial filtering techniques: Surface Laplacian (SL) and Principal Component Analysis (PCA) to identify the source of emotion activity underneath the scalp. The SL isolates the brain localization features or topographical features within several square centimeters (cm2). It minimizes the spatial overlap of different visualized emotions such as High-Valence-Low-Valence (HVLV), and High-Arousal-Low-Arousal (HALA). The results have shown that the different types of emotions are likely to have been generated by local sources, not by the reflections of volume conduction artifacts. It assists psychologists in the rapid processing of EEG-like signals and gives quick neurofeedback for Brain-computer Interface applications. It has been analyzed that how SL and PCA using Eigenvalue decomposition find the spatial sources of information in the brain and incorporates a finite set of electrodes." @default.
- W3208604009 created "2021-11-08" @default.
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- W3208604009 date "2022-01-01" @default.
- W3208604009 modified "2023-10-16" @default.
- W3208604009 title "Analyzing and identifying oscillatory activities of emotions based on Electroencephalography signals using power spectral density and spatial filtering techniques" @default.
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- W3208604009 doi "https://doi.org/10.1016/j.bspc.2021.103193" @default.
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