Motion artifacts refer to unwanted signals or noise that distort the recordings of brain activity due to movement. These artifacts can occur when the subject moves during the data collection process, affecting the quality and accuracy of the recorded signals. Understanding motion artifacts is crucial for interpreting data from techniques like ECoG and intracortical signals, as they can impact the reliability of results and analyses in brain-computer interface applications.
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