If you have a question or issue with MNE-Python, please include the following info:
- MNE-Python version: 0.23
- operating system: Windows 10
My dataset contains 20 EEG channels which I rescaled from µV to V (1e-6). It also contains data of another 3 channels (ECG, R, GSR) which was collected using the NeXus-10 system.
The ECG sensor had a resolution/bit of .012215 µV and a range of -100mV to +100mV.
The R sensor had a resolution/bit of .2384186 µV and a range of -2.0V to +2.0V.
The GSR sensor had a resolution/bit of .2384186 µV and a range of -2.0V to +2.0V.
could you advise me on how to rescale them properly?
How could I create a raw object that contains EEG data collected at a sample rate of 256 Hz and ECG, R, and GSR data collected at a sample rate of 128 Hz (i.e., What the sfreq will be in the raw object)
Below is what the plot of my raw object looks like: