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...
Saved in:
Main Authors: | , , , |
---|---|
Format: | Conference or Workshop Item |
Language: | English English English |
Published: |
Springer International Publishing AG
2015
|
Subjects: | |
Online Access: | 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 http://irep.iium.edu.my/38995/ http://link.springer.com/chapter/10.1007%2F978-3-319-08422-0_42#page-1 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Internet
http://irep.iium.edu.my/38995/1/279.pdfhttp://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
http://irep.iium.edu.my/38995/
http://link.springer.com/chapter/10.1007%2F978-3-319-08422-0_42#page-1