I am new to EEG analysis, and I wonder what are the common pre-processing steps of EEG signals, for example, for motor imagery classification?
Currently, my pre-processing steps include
- Epoch the data
- Filter the data
- Down-sample the data
- Do baseline correction
- Do common average reference
- Do scaling
Are they appropriate or able to be improved further?
Thanks for any suggestion in advance!