EEG signal transformation #2
Description
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
- (newcomer suggested) Read https://doi.org/10.1101/787101 on tranformation before ICA
- (newcomer suggested) Read about Discrete wavelet transformation
- PIck transformation method
- Evaluate compared to baseline (no transformation)