Abstract
A Brain-Computer Interface (BCI) is a system that aims to create a direct communication channel between the brain and a computer, with the purpose of transmitting messages and commands. Such systems utilize well defined underlying correlations between certain mental activities and electrophysiological signals associated with the brain. Depending on the positioning of the sensors used to record the aforementioned signals, BCI systems can be categorized as noninvasive when sensors are placed on the scalp, measuring either the electrical potentials produced by the brain which is called electroencephalography (EEG) or the magnetic fields with a technique called Magnetoencephalography (MEG); semi-invasive when electrodes are placed on the exposed surface of the brain in a practice called electrocorticography (ECoG); and invasive, when micro-electrode arrays are placed directly into the cortex.
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Keywords
- Linear Discriminant Analysis
- Independent Component Analysis
- Motor Imagery
- Independent Component Analysis
- Processing Perspective
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Panoulas, K.J., Hadjileontiadis, L.J., Panas, S.M. (2010). Brain-Computer Interface (BCI): Types, Processing Perspectives and Applications. In: Tsihrintzis, G.A., Jain, L.C. (eds) Multimedia Services in Intelligent Environments. Smart Innovation, Systems and Technologies, vol 3. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-13396-1_14
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