An improved discriminative filter bank selection approach for motor imagery EEG signal classification using mutual information

An improved discriminative filter bank selection approach for motor imagery EEG signal classification using mutual information

Abstract Background Common spatial pattern (CSP) has been an effective technique for feature extraction in electroencephalography (EEG) based brain computer interfaces (BCIs). However, motor imagery EEG signal feature extraction using CSP generally depends on the selection of the frequency bands to...

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Bibliographic Details
Main Authors: Shiu Kumar, Alok Sharma, Tatsuhiko Tsunoda
Format: Article
Language:English
Published: BMC 2017-12-01
Series:BMC Bioinformatics
Subjects:
Brain computer interface
Common spatial pattern
Electroencephalography
Frequency band
Motor imagery
Mutual information
Online Access:http://link.springer.com/article/10.1186/s12859-017-1964-6

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http://link.springer.com/article/10.1186/s12859-017-1964-6

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