![]() The electrical potential sharply increases, then decreases, over a period of about 250-300 ms for a typical blink. Note that we have scaled the amplitude scale ( y axis) of the EEG data differently than in the plots above, so that the ongoing EEG is quite flat, and the blinks stand out more clearly.īecause the artifact originates at the eyes, is is picked up most strongly by the electrodes on the forehead, Fp1 and Fp2, as well as other frontal electrodes (the ones whose labels start with F, though much smaller). You can see that the size of eye blink artifacts are typically on the order of 10x as large as ongoing EEG, which is why they are such a problem. There are a series of several eye blinks in the data below, the first at 242 s. Examples of each are shown below: Eye blink # It is important to remove these from the data, to increase our confidence that the results we ultimately interpret are actually due to brain activity, and not these other sources.Ĭommon physiological artifacts, including eye blinks, eye movements, and muscle contractions, have highly characteristic properties in time and frequency. So eye blinks, eye movements, and muscle contractions are all types of artifacts. ![]() Recall that the term artifact in EEG refers to any noise in the data that can be attributed to a specific source. Reading and Visualizing Structural MRI Data ![]() Working with Multielectrode Data in pandasĪveraging ERPs: Creating MNE Evoked objects Procedural versus Object-Oriented Plotting in MatplotlibĪccessibility and Human Factors in Plotting Introduction to Jupyter Notebooks in CoCalc
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