Capsule neural network based approach for subject specific and cross-subjects seizure detection from EEG signals

The objective of this study is to propose an approach to detect Seizure and Non-Seizure phenomenon from the highly inconsistent and non-linear EEG signals. In the view of performing cross-subject classification over the inconsistency and non-linear characteristics of EEG signals, we have proposed a...

Celý popis

Uloženo v:

Podrobná bibliografie
Vydáno v:	Multimedia tools and applications Ročník 82; číslo 23; s. 35221 - 35252
Hlavní autoři:	Jana, Gopal Chandra, Swami, Keshav, Agrawal, Anupam
Médium:	Journal Article
Jazyk:	angličtina
Vydáno:	New York Springer US 01.09.2023 Springer Nature B.V
Témata:	Accuracy Artificial neural networks Classification Computer Communication Networks Computer Science Data Structures and Information Theory Datasets Decision trees Electroencephalography Multimedia Information Systems Neural networks Performance evaluation Special Purpose and Application-Based Systems Training Logistic regression Electroencephalogram (EEG) Capsule neural network Decision tree Convolutional neural network Cross-subject seizure detection
ISSN:	1380-7501, 1573-7721
On-line přístup:	Získat plný text
Tagy:	Přidat tag Žádné tagy, Buďte první, kdo vytvoří štítek k tomuto záznamu!

Buďte první, kdo okomentuje tento záznam!