Evaluation of Wavelet Transformed Features on Detection of Epileptic Seizures using 2D Scalogram Images of EEG Signals-Reference-Cited by-同舟云学术

Evaluation of Wavelet Transformed Features on Detection of Epileptic Seizures using 2D Scalogram Images of EEG Signals

Published:2023-08-17 Issue: Volume: Page:
ISSN:
Container-title:2023 12th International Conference on Advanced Computing (ICoAC)
language:
Short-container-title:

Author:

Ramya S.¹,Uma M.¹

Affiliation:

1. SRM Institute of Science and Technology,Department of Computational Intelligence,Kattankulathur,Chennai

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10249210/10249011/10249921.pdf?arnumber=10249921

Reference21 articles.

1. Railway Track Crack and Key Detection Robot using IoT, International Conference on Edge Computing and Applications;jeni narayanan;ICECAA 2022-Proceedings,2022

2. The ten-twenty electrode system of the international federation;klem;The International Federation of Clinical Neurophysiology Electroencephalogr Clin Neurophysiol Suppl,1999

3. EEG based epileptiform pattern recognition inside and outside the seizure states

4. Epileptic State Classification by Fusing Hand-Crafted and Deep Learning EEG Features

5. Automated diagnosis of epilepsy from EEG signals using ensemble learning approach

Cited by 3 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. Innovations in the Acquisition and Simulation of EEG Signals An Integrated Study of Literature Review and Application of Biomedical Technology;2024-06-06

2. Epileptic Seizures Detection using Fusion of Artificial Neural Network with Hybrid Deep Learning;2024 International Conference on Advances in Computing, Communication and Applied Informatics (ACCAI);2024-05-09

3. Improved Hybrid Approach for Enhancing Protein Coding Regions Identification in DNA Sequences;Current Bioinformatics;2024-01-30