Channel selection for common spatial pattern Based on energy calculation of motor imagery EEG signal

• Main Authors: Hilman, Fauzi, Mohd Ibrahim, Shapiai, Noor Akhmad, Setiawan, Jafreezal, Jaafar, Mahfuzah, Mustafa
• Format: Conference or Workshop Item
• Language: English
• Published: IEEE 2017
• Subjects: TK Electrical engineering. Electronics Nuclear engineering
• Online Access: http://umpir.ump.edu.my/id/eprint/23210/1/Channel%20selection%20for%20common%20spatial%20pattern%20Based%20on%20energy%20calculation%20of%20motor%20imagery%20EEG%20signal.pdf; http://umpir.ump.edu.my/id/eprint/23210/; https://doi.org/10.1109/ICCEREC.2017.8226692; https://doi.org/10.1016/j.ijrefrig.2018.02.006

One of the popular features extraction methods for recognizing motor imagery EEG signal is Common Spatial Pattern (CSP). CSP is an algorithm that maximize the variance of one class and minimize the variance of other class simultaneously to discriminate two classes of multichannel EEG signals for cla...