Seizure Classification on Epileptic EEG Using IMF-Entropy and Support Vector Machine-Reference-Cited by-同舟云学术

Seizure Classification on Epileptic EEG Using IMF-Entropy and Support Vector Machine

Published:2021 Issue: Volume: Page:387-395
ISSN:1876-1100
Container-title:Proceedings of the 1st International Conference on Electronics, Biomedical Engineering, and Health Informatics
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Author:

Rizal Achmad,Wijayanto Inung,Hadiyoso Sugondo

Publisher

Springer Singapore

Link

https://link.springer.com/content/pdf/10.1007/978-981-33-6926-9_33

Reference23 articles.

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3. Djemili R, Bourouba H, Amara Korba MC (2016) Application of empirical mode decomposition and artificial neural network for the classification of normal and epileptic EEG signals. Biocybern Biomed Eng 36:285–291

4. Patil A, Deshmukh C, Panat AR (2016) Feature extraction of EEG for emotion recognition using Hjorth features and higher order crossings. In: IEEE on 2016 Conference on advances in signal processing (CASP), pp 429–434

5. Wijayanto I, Rizal A, Hadiyoso S (2018) Multilevel wavelet packet entropy and support vector machine for epileptic EEG classification. In: Proceedings—2018 4th international conference on science and technology, ICST 2018

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