Classification of EEG Using Adaptive SVM Classifier with CSP and Online Recursive Independent Component Analysis

Classification of EEG Using Adaptive SVM Classifier with CSP and Online Recursive Independent Component Analysis

An efficient feature extraction method for two classes of electroencephalography (EEG) is demonstrated using Common Spatial Patterns (CSP) with optimal spatial filters. However, the effects of artifacts and non-stationary uncertainty are more pronounced when CSP filtering is used. Furthermore, tradi...

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Bibliographic Details
Main Authors: Mary Judith Antony, Baghavathi Priya Sankaralingam, Rakesh Kumar Mahendran, Akber Abid Gardezi, Muhammad Shafiq, Jin-Ghoo Choi, Habib Hamam
Format: Article
Language:English
Published: MDPI AG 2022-10-01
Series:Sensors
Subjects:
electroencephalogram
adaptive classifier
support vector machine
common spatial pattern
online recursive independent component analysis
Online Access:https://www.mdpi.com/1424-8220/22/19/7596

Internet

https://www.mdpi.com/1424-8220/22/19/7596

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