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A Novel Deep Neural Network for Robust Detection of Seizures Using EEG Signals

Zhao, Wei, Zhao, Wenbing, Wang, Wenfeng, Jiang, Xiaolu, Zhang, Xiaodong, Peng, Yonghong, Zhang, Baocan and Zhang, Guokai (2020) A Novel Deep Neural Network for Robust Detection of Seizures Using EEG Signals. Computational and Mathematical Methods in Medicine, 2020. pp. 1-9. ISSN 1748-6718

Item Type: Article

Abstract

The detection of recorded epileptic seizure activity in electroencephalogram (EEG) segments is crucial for the classification of seizures. Manual recognition is a time-consuming and laborious process that places a heavy burden on neurologists, and hence, the automatic identification of epilepsy has become an important issue. Traditional EEG recognition models largely depend on artificial experience and are of weak generalization ability. To break these limitations, we propose a novel one-dimensional deep neural network for robust detection of seizures, which composes of three convolutional blocks and three fully connected layers. Thereinto, each convolutional block consists of five types of layers: convolutional layer, batch normalization layer, nonlinear activation layer, dropout layer, and max-pooling layer. Model performance is evaluated on the University of Bonn dataset, which achieves the accuracy of 97.63%∼99.52% in the two-class classification problem, 96.73%∼98.06% in the three-class EEG classification problem, and 93.55% in classifying the complicated five-class problem.

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Additional Information: ** From Crossref via Jisc Publications Router ** History: ppub 07-04-2020; issued 07-04-2020.
Uncontrolled Keywords: General Biochemistry, Genetics and Molecular Biology, Modelling and Simulation, General Immunology and Microbiology, Applied Mathematics, General Medicine
SWORD Depositor: Publication Router
Depositing User: Publication Router

Identifiers

Item ID: 11929
Identification Number: https://doi.org/10.1155/2020/9689821
ISSN: 1748-6718
URI: http://sure.sunderland.ac.uk/id/eprint/11929
Official URL: https://www.hindawi.com/journals/cmmm/2020/9689821...

Users with ORCIDS

ORCID for Wei Zhao: ORCID iD orcid.org/0000-0002-6814-1526
ORCID for Wenbing Zhao: ORCID iD orcid.org/0000-0002-3202-1127
ORCID for Wenfeng Wang: ORCID iD orcid.org/0000-0001-7709-3143
ORCID for Xiaolu Jiang: ORCID iD orcid.org/0000-0002-9290-284X
ORCID for Xiaodong Zhang: ORCID iD orcid.org/0000-0002-0877-1964
ORCID for Yonghong Peng: ORCID iD orcid.org/0000-0002-5508-1819
ORCID for Guokai Zhang: ORCID iD orcid.org/0000-0002-0952-8325

Catalogue record

Date Deposited: 26 May 2020 18:36
Last Modified: 30 Sep 2020 11:02

Contributors

Author: Wei Zhao ORCID iD
Author: Wenbing Zhao ORCID iD
Author: Wenfeng Wang ORCID iD
Author: Xiaolu Jiang ORCID iD
Author: Xiaodong Zhang ORCID iD
Author: Yonghong Peng ORCID iD
Author: Guokai Zhang ORCID iD
Author: Baocan Zhang

University Divisions

Faculty of Technology > School of Computer Science

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