An efficient epileptic seizure classification system using empirical wavelet transform and multi-fuse reduced deep convolutional neural network with digital implementation-Reference-Cited by-同舟云学术

An efficient epileptic seizure classification system using empirical wavelet transform and multi-fuse reduced deep convolutional neural network with digital implementation

Published:2022-02 Issue: Volume:72 Page:103281
ISSN:1746-8094
Container-title:Biomedical Signal Processing and Control
language:en
Short-container-title:Biomedical Signal Processing and Control

Author:

Rout Susanta Kumar,Sahani Mrutyunjaya,Dora Chinmayee,Biswal Pradyut Kumar,Biswal Birendra

Publisher

Elsevier BV

Subject

Health Informatics,Signal Processing

Reference80 articles.

1. Seizure prediction: the long and winding road;Mormann;Brain,2006

2. Neurological disorders: public health challenges;Organization,2006

3. Automated EEG analysis of epilepsy: A review;Acharya;Knowl.-Based Syst.,2013

4. Application of entropies for automated diagnosis of epilepsy using EEG signals: A review;Acharya;Knowl.-Based Syst.,2015

5. Self-Aware Wearable Systems in Epileptic Seizure Detection;Forooghifar,2018

Cited by 20 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Integrated TSVM-TSK fusion for enhanced EEG-based epileptic seizure detection: Robust classifier with competitive learning;Biomedical Signal Processing and Control;2024-10

2. KDTL: knowledge-distilled transfer learning framework for diagnosing mental disorders using EEG spectrograms;Neural Computing and Applications;2024-08-01

3. Software advancements in automatic epilepsy diagnosis and seizure detection: 10-year review;Artificial Intelligence Review;2024-06-21

4. Inter-intra feature for the complementary convolutional neural network in the effective classification of epileptic seizures;Multimedia Tools and Applications;2024-03-15

5. New formulation for predicting total dissolved gas supersaturation in dam reservoir: application of hybrid artificial intelligence models based on multiple signal decomposition;Artificial Intelligence Review;2024-03-09