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Singular spectrum analysis for tracking of P300

S. Enshaeifar, , S. Sanei, and C. C. Took, (2014) Singular spectrum analysis for tracking of P300 In: 2014 International Joint Conference on Neural Networks (IJCNN), ? - ?.

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Item Type: Conference or Workshop Item (UNSPECIFIED)
Authors :
NameEmailORCID
S. Enshaeifar, UNSPECIFIEDUNSPECIFIED
S. Sanei, UNSPECIFIEDUNSPECIFIED
C. C. Took, UNSPECIFIEDUNSPECIFIED
Date : 2014
Uncontrolled Keywords : bioelectric potentials, electroencephalography, feature extraction, medical disorders, medical signal processing, principal component analysis, probability, signal classification, spectral analysis, EEG classification, P300 tracking, P3a features, P3b features, complex-valued singular spectrum analysis, complex-valued statistics, data channels, electroencephalogram, event-related potential, healthy subject, noncircular probability distribution, power difference, principal component analysis-like technique, schizophrenic patient, Correlation, Covariance matrices, Eigenvalues and eigenfunctions, Electroencephalography, Spectral analysis, Standards, Vectors
Depositing User : Symplectic Elements
Date Deposited : 17 May 2017 13:31
Last Modified : 17 May 2017 13:31
URI: http://epubs.surrey.ac.uk/id/eprint/839524

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