Practical Applications of Motor Imagery EEG Based on BP Neural Networks
2012 ◽
Vol 263-266
◽
pp. 3374-3377
Keyword(s):
In the application of the classification, neural networks are often used as a classification tool, In this paper, neural network is introduced on motor imagery EEG analysis, the first EEG Hjort conversion, and then the brain electrical signal is converted into the frequency domain, Finally, the fisher distance for feature extraction in the EEG analysis, identification of the study sample was 97 86% recognition rate is 80% of the test sample.
2010 ◽
Vol 61
(2)
◽
pp. 120-124
◽
2013 ◽
Vol 7
(1)
◽
pp. 49-62
◽
Keyword(s):
2021 ◽
Vol 11
(12)
◽
pp. 2918-2927
Keyword(s):
2012 ◽
Vol 11
(02)
◽
pp. 1250013
◽
Keyword(s):
2021 ◽
Vol 36
(1)
◽
pp. 623-628
Keyword(s):