Epileptic Seizure Detection and Prediction in EEGs Using Power Spectra Density Parameterization-Reference-Cited by-同舟云学术

Epileptic Seizure Detection and Prediction in EEGs Using Power Spectra Density Parameterization

Published:2023 Issue: Volume:31 Page:3884-3894
ISSN:1534-4320
Container-title:IEEE Transactions on Neural Systems and Rehabilitation Engineering
language:
Short-container-title:IEEE Trans. Neural Syst. Rehabil. Eng.

Author:

Liu Shan¹^ORCID,Wang Jiang¹^ORCID,Li Shanshan²^ORCID,Cai Lihui³^ORCID

Affiliation:

1. School of Electrical and Information Engineering, Tianjin University, Tianjin, China

2. School of Information Technology Engineering, Tianjin University of Technology and Education, Tianjin, China

3. School of Life Sciences, Tiangong University, Tianjin, China

Funder

Youth Fund of the National Natural Science Foundation of China

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Biomedical Engineering,General Neuroscience,Internal Medicine,Rehabilitation

Link

http://xplorestaging.ieee.org/ielx7/7333/10031624/10255642.pdf?arnumber=10255642

Reference68 articles.

1. Classification of epileptic seizures in EEG signals based on phase space representation of intrinsic mode functions

2. Epileptic Seizure Detection in EEG Signals Using a Unified Temporal-Spectral Squeeze-and-Excitation Network

3. Deep learning approach to detect seizure using reconstructed phase space images;ilakiyaselvan;J Biomed Res,2020

4. Detection of Seizure Event and Its Onset/Offset Using Orthonormal Triadic Wavelet Based Features

5. Fourier-Bessel series expansion based technique for automated classification of focal and non-focal EEG signals;gupta;Proc Int Joint Conf Neural Netw,2018

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