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The document analyzes EEG signals to study how humans can control machines using thoughts. It discusses EEG-based brain-computer interfaces and analyzes EEG data from subjects during imagery and voluntary movements. The analysis shows that motor imagery causes a decrease in activity in the corresponding area of the sensory motor cortex, indicating desynchronization of the mu rhythm, which could be used for BCI control.

Author

Shafayet Uddin

Language

EN