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Analysis of EEG Signal for Brain Computer Interface

Anup Shete, Utkarsh Nimje, Prajyot Morey, Megha M. Wankhade

Abstract


Brain-computer interface (BCI) frameworks causes a subject to issue commands to an electronic device just by methods for brain activity. EEG has wide applications in the brain-computer interface (BCI) systems. Sadly, the spatial resolution of EEG is very low, because of the volume conduction. While measuring signals related to motor movements various artefacts also get added. We have studied pre-processing techniques and classification techniques which improve performance. While there are various different algorithms and methods available that can be applied as per the input data and desired output, the procedure to process EEG data remains the same, that includes preprocessing, feature extraction and classification.


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References


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