BIAPT eeg-pain-detection issues

BIAPT / eeg-pain-detection

Repository for detection of pain from EEG brain signals using machine learning

5 stars 2 forks source link

issues

Newest

Newest Most commented Recently updated Oldest Least commented Least recently updated

Bump ecdsa from 0.13 to 0.13.3 in /projects/publish_a_paper_on_pain_detection_using_eeg_and_ml/neurips_2020_abstract_submission

#38 dependabot[bot] opened 4 years ago
2
Incorporate the new and old participants into the analysis pipeline

#37 yacineMahdid closed 4 years ago
5
Compile an abstract together explaining the first stage of the results we get

#36 yacineMahdid closed 4 years ago
0
Run the machine learning model training on Béluga

#35 yacineMahdid closed 4 years ago
0
Run the feature generation on Béluga cluster

#34 yacineMahdid closed 4 years ago
3
Write the presentation of the data and the experimental protocol section

#33 yacineMahdid closed 4 years ago
0
Add peak frequency between 6 to 14Hz as a feature

#32 yacineMahdid closed 4 years ago
1
Visualize all the data for all the participant (Heavy)

#31 yacineMahdid opened 4 years ago
0
Bring in the documentation inside the code in the form of README.md

#30 yacineMahdid closed 4 years ago
0
Make a bootstrap confidence intervale module to compare classification performance

#29 yacineMahdid closed 4 years ago
2
Add in a permutation test module to validate if we are greater than random

#28 yacineMahdid closed 4 years ago
2
Add in average dPLI at alpha, beta and gamma

#27 yacineMahdid closed 4 years ago
0
Add in average wPLI at all bandpass

#26 yacineMahdid closed 4 years ago
1
Add in SVC (with different Kernel), LDA, K-NN and RF in the analysis

#25 yacineMahdid closed 4 years ago
0
Add in Grid Search in the model selection phase of the cross validation

#24 yacineMahdid closed 4 years ago
1
Fill in the missing values using random sampling of the values in the training

#23 yacineMahdid closed 4 years ago
1
Fill in the missing values per channel with means of training per channel

#22 yacineMahdid closed 4 years ago
0
Run the analysis with all bandpass for power per channels

#21 yacineMahdid closed 4 years ago
3
Investigate why some participant throw error when loaded on eeglab

#20 yacineMahdid closed 4 years ago
4
Process the updated MSK dataset (10 more participant)

#19 yacineMahdid closed 4 years ago
0
Take out from the papers in the `./doc` folder what feature we should be minimally looking at

#18 yacineMahdid closed 4 years ago
3
Rerun the machine learning pipeline for channel power at alpha with model selection

#17 yacineMahdid closed 4 years ago
1
Improve the machine learning scheme to have model selection in CV

#16 yacineMahdid closed 4 years ago
1
Find a list of all the 'white box' model available on sklearn

#15 yacineMahdid closed 4 years ago
1
Train a linear SVM on the channel power feature at alpha

#14 yacineMahdid closed 4 years ago
3
Calculate channel level power spectra for X

#13 yacineMahdid closed 4 years ago
5
Store full coordinate and channel location of DSI24 in repository

#12 yacineMahdid closed 4 years ago
2
Merge all the experiment that generate a useful output together (generation of feature per participants and generation of plots)

#11 yacineMahdid closed 4 years ago
2
Add reordering capabilities to NeuroAlgo so that we can use it to reorder wPLI matrices in other projects.

#10 yacineMahdid closed 4 years ago
2
Find a folder structure for the results of experiments, this include raw .fig figures, notes, small pieces of data.

#9 yacineMahdid closed 4 years ago
1
Find a folder structure to make it easier to know which experiments are not relevant any more and which one are

#8 yacineMahdid closed 4 years ago
1
Create a report of what worked and what should be changed for next sprint

#7 yacineMahdid closed 4 years ago
0
Use leave one subject out cross validation with hard coded classifier

#6 yacineMahdid closed 4 years ago
3
Make the feature extractor module from raw data

#5 yacineMahdid closed 4 years ago
1
Planify what will go in the X and y variables for a machine learning model training

#4 yacineMahdid closed 4 years ago
3
Refactor the code to analyze the data to be easier to work with

#3 yacineMahdid closed 4 years ago
2
Review the code and document how it behaves

#2 yacineMahdid closed 4 years ago
1
Import all code from previous analysis in Scripts

#1 yacineMahdid closed 4 years ago
0