Abstract:The Electroencephalographic signals are commonly used for developing brain-machine interfaces (BMI), in fact is the most used biological signal to translate brain's commands to the computer. Some additional physiological measures have been used along with EEG in order to obtain more robust and more accurate BMI systems. However, since very sophisticated recording devices are more available, signal processing is getting complicated, mainly due to the invested computational time in signal extraction and pattern … Show more
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