Double Attention-Based Deep Convolutional Neural Network for Seizure Detection Using EEG Signals

Lin Shi, Zexin Wang, Yuanwei Ma, Jianjun Chen, Jingzhou Xu, Jun Qi*

*Corresponding author for this work

Research output: Chapter in Book or Report/Conference proceedingConference Proceedingpeer-review

Abstract

Epilepsy is a common neurological disorder caused by sudden and transient excessive excitation of neurons in the brain due to abnormal electrical dis-charge. Existing diagnosis methods using brain magnetic resonance imaging (MRI) and computed tomography (CT) scans have limitations that they rely on episodic symptoms and the subjectivity of doctors. Although electroencephalography (EEG) signals only record the electrical activity on the surface of the cerebral cortex and require appropriate timing for examination to capture abnormal brain electrical activity, EEG examinations are non-invasive and safe for patients. They can be used for real-time monitoring and evaluating treatment effects, playing an important role in the diagnosis and treatment of epilepsy. In this study, we proposed a Double Attention-based Convolutional Neural Network (CNN) for Seizure detection. It computed the Pearson Correlation Coefficient (PCC) of each channel, and mapping them to a correlation coefficient matrix for positional encoding, with attention-based CNN model feature extraction to obtain the final classification results. From AUBMC dataset and the CHB-MIT dataset, our proposed model achieved classification accuracies of 90.88% and 93.69% respectively.

Original languageEnglish
Title of host publicationAdvanced Intelligent Computing in Bioinformatics - 20th International Conference, ICIC 2024, Proceedings
EditorsDe-Shuang Huang, Yijie Pan, Qinhu Zhang
PublisherSpringer Science and Business Media Deutschland GmbH
Pages392-404
Number of pages13
ISBN (Print)9789819756919
DOIs
Publication statusPublished - 2024
Event20th International Conference on Intelligent Computing, ICIC 2024 - Tianjin, China
Duration: 5 Aug 20248 Aug 2024

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume14882 LNBI
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

Conference20th International Conference on Intelligent Computing, ICIC 2024
Country/TerritoryChina
CityTianjin
Period5/08/248/08/24

Keywords

  • Classification
  • Convolutional Neural Network (CNN)
  • Double Attention
  • Electroencephalography (EEG)
  • Epilepsy
  • Pearson Correlation Coefficient (PCC)

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