Universum based Lagrangian twin bounded support vector machine to classify EEG signals-Reference-Cited by-同舟云学术

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Universum based Lagrangian twin bounded support vector machine to classify EEG signals

Published:2021-09 Issue: Volume:208 Page:106244
ISSN:0169-2607
Container-title:Computer Methods and Programs in Biomedicine
language:en
Short-container-title:Computer Methods and Programs in Biomedicine

Author:

Kumar Bikram^ORCID,Gupta Deepak^ORCID

Publisher

Elsevier BV

Subject

Health Informatics,Computer Science Applications,Software

Reference76 articles.

1. Fundamental of EEG Measurement;Teplan;Measurement Science Review,2002

2. Studies of emotion: a theoretical and empirical review of psychophysiological studies of emotion;Niemic;J. Undergrad. Res.,2002

3. Laboratory Tests and Diagnostic Procedures-E-Book;Chernecky,2012

4. Hans berger (1873–1941), richardcaton (1842–1926), and electroencephalography;Haas;J. Neurol. Neurosurg. Psychiatry,2003

5. EEG signal classification using PCA, ICA, LDA and support vector machines;Subasi;Expert Syst. Appl.,2010

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