Add other part of the dataset in the feature generator

[yacineMahdid]

Todo

• [x] distinguish between nopain and rest
• [x] add hot2
• [x] add cold
• [x] renaming hot to hot1 We should basically have one variable that is the state, we might want to have human readable stuff there and then to beef up our pre-processing.

From Chloé: We would like to have the EEG features for the cold condition as well. We would also need the EEG features for hot2 (hot condition after the cold bath). However, we saw that you labelled baseline vs hot using a binary variable is_hot. We should maybe add something that will allow us to distinguish between hot1 (before bath) and hot2 (after bath). I understand that this task will take you longer because it involves making changes in your code. Something less time consuming that would help us move forward would be to have the features for the current condition (baseline: is_hot=0, hot1: is_hot=1) extracted for the rest of the participants. Let me know if you think this could be feasible by Friday. Thank you again for your help!

[yacineMahdid]

The configuration file that we are using should contains the experimental parameters, this will be way easier to bundle the feature_configurations.

[yacineMahdid]

Done, I just need to restructure it so that we can simply gives the features_params structure to the calculate_features function.