Removal of Electrooculogram Artifacts from Electroencephalogram Using Canonical Correlation Analysis...
Removal of Electrooculogram Artifacts from Electroencephalogram Using Canonical Correlation Analysis with Ensemble Empirical Mode Decomposition
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Publisher
New York: Springer US
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Language
English
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New York: Springer US
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Contents
Electrooculogram (EOG) is one of the major artifacts in the design of electroencephalogram (EEG)-based brain computer interfaces (BCIs). That removing EOG artifacts automatically while retaining more neural data will benefit for further feature extraction and classification. In order to remove EOG artifacts automatically as well as reserve more use...
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Full title
Removal of Electrooculogram Artifacts from Electroencephalogram Using Canonical Correlation Analysis with Ensemble Empirical Mode Decomposition
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TN_cdi_proquest_journals_2919479882
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https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_proquest_journals_2919479882
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ISSN
1866-9956
E-ISSN
1866-9964
DOI
10.1007/s12559-017-9478-0
