Comments (4)
c21cdb8 Save preprocessed files for all eye conditions, direct, natural, and averted. It applies for both experimental and natural data.
Next time, we just loaded from these preprocessed files by reading mne.read_epochs
from hyperscanning2-redesign.
368c85e Changed variable name
- For natural post, from averted to natural
- Still need to define differently bad channels. Remember this !
from hyperscanning2-redesign.
ade0685 For all experimental and baseline data. Use this ! With updated name of experimental data folder
- Still need to define differently bad channels. Remember this when running real data and all of data
from hyperscanning2-redesign.
a619b0b Use this (since the bad channels have been updated). It also makes soft coded for end of looping. We don't need to change the end of loop, eg. 24 / 26, it will read automatically the number of raw csv files.
Updated bad channels
- S1 - S26
- ToDo:
- Update S27 - S30 when we have got new data
from hyperscanning2-redesign.
Related Issues (20)
- Count average score of significant connections for each pair (combine all electrodes) HOT 2
- Mixed results HOT 1
- Notes : Running permutation in several screen of linux
- Process demographic data
- Function to calculate how many percentage of looking and not looking HOT 1
- Modules of eye tracker HOT 1
- Module of EEG HOT 9
- Module of Questionnaire HOT 2
- Viz-Remove x-axis and y-axis visualization of eye data
- Remove x-axis and y-axis visualization
- Viz-Add title of figure of plot
- Viz-Change no or info on legend of color bar HOT 1
- Viz-Capture the background for various eye conditions and put as overlay HOT 1
- Combine pre and post condition for visualization
- Create function to plot data of eye tracker into heatmap HOT 3
- Initialization of documentation using sphinx HOT 4
- Configuration of sphinx
- Documentation of phd_codes HOT 4
- Documentation of phd_codes HOT 2
- Correlational analysis between EEG connections and SPGQ score (After defense Revision) HOT 1
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