Classification of multichannel EEG signal by linear discriminant analysis
Motor imagery (MI) related Electroencephalogram (EEG) signal classification is one of the main challenge in designing a brain computer interface (BCI) system. Linear Discriminant Analysis (LDA) has a very low computational requirement which makes it suitable for online BCI system. This paper propose...
| Main Authors: | , , , |
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| Format: | Conference or Workshop Item |
| Language: | English English English |
| Published: |
Springer International Publishing AG
2015
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| Subjects: | |
| Online Access: | http://irep.iium.edu.my/38995/ http://irep.iium.edu.my/38995/ http://irep.iium.edu.my/38995/ http://irep.iium.edu.my/38995/1/279.pdf http://irep.iium.edu.my/38995/4/ICSEng_2014_-_23rd_INTERNATIONAL_CONFERENCE_ON_SYSTEMS_ENGINEERING.pdf http://irep.iium.edu.my/38995/7/42469_Classification%20of%20multichannel%20EEG%20signal%20by%20linear_Scopus.pdf |
Internet
http://irep.iium.edu.my/38995/http://irep.iium.edu.my/38995/
http://irep.iium.edu.my/38995/
http://irep.iium.edu.my/38995/1/279.pdf
http://irep.iium.edu.my/38995/4/ICSEng_2014_-_23rd_INTERNATIONAL_CONFERENCE_ON_SYSTEMS_ENGINEERING.pdf
http://irep.iium.edu.my/38995/7/42469_Classification%20of%20multichannel%20EEG%20signal%20by%20linear_Scopus.pdf