Closed ihgumilar closed 2 years ago
a134bdd69c155bb60fa8cd1084df3cf48fabb405 can successfully extract baseline data. But it requires more cleaning up, then transfer it to .py file as module.
Remove this kind of information when loading
29e9619e3dc41f9253cbb3b14007adf5a970eceb much cleaner and remove the above verbose when saving into csv file
e74196ce506190fe19652adc3459deaf478b972e turn to be a function of extract_baseline_eye_data
56831d018727e4411efa2ffc3d752b33d5df570c remove temporary paths. The module consists of
extract_baseline_eye_data
extract_experiment_eye_data
Check here ef9367f26e090d556a4148ab9ac42d1c1afccbb6 if you want to run from jupyterlab
Needs to be merged to main branch please !
Has been merged to main branch 3730f789648ec3528f0e574febbf821b83db4174 It is ready to use
Has been merged to main branch 3730f789648ec3528f0e574febbf821b83db4174 It is ready to use
3730f789648ec3528f0e574febbf821b83db4174 has an issue in parameter (labelsequence). It is fixed to 1
Not all eye conditions are being extracted. It seems the error in that looping for both EEG or eye tracker data code !! Looping should be all not just 6. Len(indicesOfExperimentalMarker)
768e584f2843016530fdd210b6679fc9708f6615 fixed the above issue. Each participant will be extracted into 18 files in total.
nice. For now, it only works for extract experimental eye data function
However, there are some issues with raw files of eye tracker below. Check again
ToDo:
95a000a fixed the issue of the above three issues from here. Ready to be transfered to py. But this is for eye tracker data only. Not yet for EEG.
e4d975e changed position of parameter bad_files: list = []
in function of extract baseline eye tracker data to be the 3rd one instead of the last one. With that, we can put bad_files
value and don't have to worry about the value of labelsequence
parameter. Previously, we need to write labelsequence
parameter if we want to write bad_files
parameter value. This is just a small cosmetic :)
e92c10709 Revised explanation of labelsequence_experiment.
Jupyterlab e92c10709
Python file d13c6168b9f9c57f535ed84dd9231e4b699eaf08
Up to here 2ffae82a62a9b4094bda29b3f03830467bdb8b9d