GitHub - thirtiseven/EEG_EMG: some dataset and algorithm on EEG-EMG fusion processing

Some code and data for EEG-EMG with GNN.

Note: This readme is outdated.

How to run

Download this emg dataset, and put the /sEMG-dataset floder in the repository.

Find a BCICIV_2a_gdf eeg dataset. put it into the repository.

Use the get_data function in integration.py, it return some fusion fake data.

recommend use subjects 14, 15, 17, 18, 19

label: 1 for push, 2 for pull

preprocess data from CM-graph and run time_split_GNN.py

Name		Name	Last commit message	Last commit date
Latest commit History 18 Commits
Data_prepare		Data_prepare
papers		papers
CSPNet.py		CSPNet.py
CSP_GNN.py		CSP_GNN.py
GNN_pyG.py		GNN_pyG.py
PMI.py		PMI.py
README.md		README.md
abalation.py		abalation.py
ablationExp.py		ablationExp.py
all_feature_healthy_EEG_EMG.npy		all_feature_healthy_EEG_EMG.npy
channel_ois.py		channel_ois.py
classic_classification.py		classic_classification.py
connectivity.py		connectivity.py
emg_vis.py		emg_vis.py
emggao.py		emggao.py
graph_classification.py		graph_classification.py
integration.py		integration.py
model		model
model100		model100
model30		model30
model60		model60
model70		model70
model80		model80
model90		model90
single_channel_attention_autoencoder.py		single_channel_attention_autoencoder.py
single_channel_process.py		single_channel_process.py
single_subject_gnn.py		single_subject_gnn.py
t_test.py		t_test.py
time_split.py		time_split.py
time_split_GNN.py		time_split_GNN.py
time_split_graphs_test.npy		time_split_graphs_test.npy
time_split_graphs_test.sav		time_split_graphs_test.sav
time_split_graphs_train.npy		time_split_graphs_train.npy
time_split_graphs_train.sav		time_split_graphs_train.sav
time_split_model.pth		time_split_model.pth
traditional_feature_GNN.py		traditional_feature_GNN.py