Task Relevant Source Based Brain Computer Interface: Exploration of Independent Component Analysis Based Spatial Filtering with Reliability
Cheema, Maninderpal Singh
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Brain-computer interface (BCI) for visuomotor tasks requires identification of task-specific patterns of brain activity. During the visuomotor task, the subject encodes the visual information for a decision and then makes a motor action based on that decision. Here, a gradual change of the visual target can unmask the decision-making process leading to a motor preparatory activity such as contralateral movement–selective activity. The consequent neuronal activity in the brain gives rise to small transmembrane currents that can be measured in the extracellular medium, using electroencephalogram (EEG), when recorded from the scalp. EEG activity is quite small, that is very sensitive to noise. Therefore, BCI technologies have relied on finding noise and then removing it before feature extraction. Then, common spatial patterns or manually selecting channels are two common tactics before feature extraction in EEG–based BCI.