Dissimilarity-based time–frequency distributions as features for epileptic EEG signal classification
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Title
Dissimilarity-based time–frequency distributions as features for epileptic EEG signal classification
Authors
Keywords
Epileptic seizure, EEG signals, Dissimilarity, Classification, ANN, SVM, LDA, k-NN, TFA, TFD, SPWV, SNR
Journal
Biomedical Signal Processing and Control
Volume 64, Issue -, Pages 102268
Publisher
Elsevier BV
Online
2020-10-21
DOI
10.1016/j.bspc.2020.102268
References
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Note: Only part of the references are listed.- A novel seizure diagnostic model based on kernel density estimation and least squares support vector machine
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- Classification of EEG signals using normal inverse Gaussian parameters in the dual-tree complex wavelet transform domain for seizure detection
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