I have data from 6 EEG channels (F3-A2, C3-A2, A1-A2, F4-A1, C4-A1, A2-A1) sleep data. And 1 channel for ECG and EOG, are these enough to run ICA to remove artifacts caused by EOG and ECG from the EEG channels?
Also which algorithm would be recommended to use?
Article Improved EOG Artifact Removal Using Wavelet Enhanced Indepen...
there are many factors related to noise cancellation
1-the algorithm that you will use
2-environment of recording (is it noisy environment) and what is the type of noise that may affect your sensors
3-accuracy of sensors and device
and put in your consideration you may need gyro sensors that can give you some information about moving of the head because moving can make some noise also
in conclusion, it depends on your application and the accuracy that you are looking for.
You can use our algorithms for elimination of electrical shift and linear trends from EEG signals with single-to-multi EEG setting. You may find the code and materials here Article SWT-kurtosis Based Algorithm for Elimination of Electrical S...
Uttara u Khatri : Yes that should be sufficient. But when PSG signals are considered for analysis. It also depends upon how many features you have extracted from each of these channels. Make sure all the features of PSG contribute equally in the analysis.
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