![]() preprocessed, it is quite common to cut them in epochs of a few seconds and then extract features out of each one of these. The reason is that blinks and eye movements generate strong electrical fields that affect our EEG recordings. There are many other preprocessing techniques such as Electrooculogram (EOG) artefact correction, which might be necessary to apply if the subject under recording is keeping his/her eyes open. In EEG we currently rarely study frequencies above 90 Hz which correspond to the Gamma range. ![]() ![]() A low pass filter can also be applied to remove the high frequency components. These often include the application of filters, such as a high-pass filter to remove the DC components of the signals and also the drifts (usually a frequency cut-off of 1 Hz is enough). This data is usually not clean so some preprocessing steps are needed. PreprocessingĪs we can see from figure 1, the first thing we need is some raw EEG data to process. Figure 1: Basic steps applied in EEG data analysis 1. ![]()
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