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View Code? Open in Web Editor NEWA project based on calssifying motor imagery from BCI devices
A project based on calssifying motor imagery from BCI devices
Written by Amit Sinha This work is based on Brain Computer Interfaces (BCI) and processing data to classify motor imagery in the brain for 2 classes. An implementation is created based on the BCI Competition IV work done in: Abdel-Hadi, Mahmoud EA, et al. "Classification of motor imagery tasks with LS-SVM in EEG-based self-paced BCI." Digital Information Processing and Communications (ICDIPC), 2015 Fifth International Conference on. IEEE, 2015. bciconfig.txt: This is the configuration file. All the main parameters can be controlled from this file. bcidataset.py: This has the class which handles dealing with the BCI Dataset IV file. preprocessing.py: It has all the necessary preprocessing required in the algorithm. processcontrol.py: It uses all the other classes to drive all the functionality.
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