Dissimilarity-based time–frequency distributions as features for epileptic EEG signal classification

标题
Dissimilarity-based time–frequency distributions as features for epileptic EEG signal classification
作者
关键词
Epileptic seizure, EEG signals, Dissimilarity, Classification, ANN, SVM, LDA, k-NN, TFA, TFD, SPWV, SNR
出版物
Biomedical Signal Processing and Control
Volume 64, Issue -, Pages 102268
出版商
Elsevier BV
发表日期
2020-10-21
DOI
10.1016/j.bspc.2020.102268

向作者/读者发起求助以获取更多资源

Reprint

联系作者

Find the ideal target journal for your manuscript

Explore over 38,000 international journals covering a vast array of academic fields.

Search

Become a Peeref-certified reviewer

The Peeref Institute provides free reviewer training that teaches the core competencies of the academic peer review process.

Get Started