Update README.md

README.md

@@ -5,6 +5,16 @@ email: zabiralnazi@yahoo.com
 
 Running Matlab Scripts: https://youtu.be/AeRMO98-URc
 
+There are motor imagery EEG classification code for 3 projects in this repository.
+
+1. Matlab-based baseline for EEG classification. `(minimal matlab)`
+
+2. Classification of motor imagery EEG signals with multi-input convolutional neural network by augmenting STFT. (https://www.researchgate.net/publication/335241301_Classification_of_Motor_Imagery_EEG_Signals_with_multi-input_Convolutional_Neural_Network_by_augmenting_STFT) `(STFT_CNN_benchmark.ipynb, bci_4_tl_sub1.ipynb, bci_4_tl_sub2.ipynb)`
+
+3. Motor Imagery EEG Classification Using Random Subspace Ensemble Network with Variable Length Features. (https://www.researchgate.net/publication/350403311_Motor_Imagery_EEG_Classification_Using_Random_Subspace_Ensemble_Network_with_Variable_Length_Features)
+
+
+
 Citation(s): 
 
 ```
@@ -20,6 +30,19 @@ BibTex:
 http://biomed.bas.bg/bioautomation/2021/vol_25.1/toc.html
 doi: 10.7546/ijba.2021.25.1.000611
 
+```
+@article{al2021motor,
+  title={Motor Imagery EEG Classification Using Random Subspace Ensemble Network with Variable Length Features},
+  author={Al Nazi, Zabir and Hossain, ABM Aowlad and Islam, Md Monirul},
+  journal={International Journal Bioautomation},
+  volume={25},
+  number={1},
+  pages={13},
+  year={2021},
+  publisher={Bulgarska Akademiya na Naukite/Bulgarian Academy of Sciences}
+}
+```
+
 ```
 @inproceedings{shovon2019classification,
   title={Classification of motor imagery eeg signals with multi-input convolutional neural network by augmenting stft},
@@ -31,3 +54,5 @@ doi: 10.7546/ijba.2021.25.1.000611
 }
 ```
 
+
+