At the end, EEG signal can be represented as n*m matrix, where n is the number of channels in EEG helmet (64 or 128) and m is the number of taken discrete time points.
Usually, signals are being transformed to add information quotient/distropy to each feature (Physics specialists are welcome to tell more!). We might want to also pick one transformation method and see whether it helps our pipeline.
TODO
At the end, EEG signal can be represented as n*m matrix, where n is the number of channels in EEG helmet (64 or 128) and m is the number of taken discrete time points.
Usually, signals are being transformed to add information quotient/distropy to each feature (Physics specialists are welcome to tell more!). We might want to also pick one transformation method and see whether it helps our pipeline.
TODO