A New Channel Selection Method using Autoencoder for Motor Imagery based Brain Computer Interface

• Published in: Conference proceedings - IEEE International Conference on Systems, Man, and Cybernetics pp. 3641 - 3646
• Main Authors: Parashiva, Praveen K., Vinod, A. P.
• Format: Conference Proceeding
• Language: English
• Published: IEEE 01.10.2019
• Subjects: Biological neural networks; Brain-computer interfaces; Electrodes; Electroencephalography; Feature extraction; Support vector machines; Task analysis

To improve the spatial resolution of the electroen-cephalogram (EEG) signal, it is conventional to use a large number of scalp electrode while recording oscillatory rhythms in motor imagery based brain-computer interface (MI-BCI). However, this increases the dimension of data and might fail to gener...