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EEG-based epilepticseizure detectionwith a bidirectionallong short-termmemory deep learningmodel Egorova Lyudmila D.2025 год

EEG-based epileptic seizure detection with a bidirectional long short-term memory deep learning model : доклад, тезисы доклада
доклад, тезисы доклада, статья из сборника материалов конференций

Дополнительные ссылки: eLibrary · Источник статьи
База данных: Каталог библиотеки СФУ
Библиографическое описание: EEG-based epileptic seizure detection with a bidirectional long short-term memory deep learning model : доклад, тезисы доклада / Lyudmila D. Egorova. - [S. l. : s. n.], 2025. - Текст : непосредственный // ITM Web of Conferences : III International Workshop / Hybrid Methods of Modeling and Optimization in Complex Systems (HMMOCS-III 2024) (2024 ; 02.12 - 04.12 ; Krasnoyarsk). - Krasnoyarsk, 2025. - P. 4008. - The work was supported by the Ministry of Science and Higher Education of the Russian Federation (Grant No. 075-15-2022-1121). - DOI 10.1051/itmconf/20257204008.
Аннотация: This paper presents a method for detecting epileptic seizures based on electroencephalogram (EEG) analysis using a deep learning model based on Bidirectional Long Short-Term Memory (BiLSTM). The proposed model architecture allows taking into account temporal dependencies and nonlinear dynamics of EEG signals, which makes it effective for recognizing patterns associated with epileptic seizures. The model uses frequency, dynamic, fractal, correlation and statistical characteristics of the EEG signal as informative features. The study includes the stages of data preprocessing, feature extraction and neural network training. To improve the accuracy of the model, data normalization and regularization methods were used. The experimental results obtained on the publicly available TUH EEG dataset demonstrate high performance of the model in detecting epileptic activity: Sensitivity 96.2, Specificity 99.8, F1-score 0.77, AUC 0.98.
Год издания: 2025
Авторы: Egorova Lyudmila D.
Издательство: Krasnoyarsk
Источник: ITM Web of Conferences
Номера страниц: 4008
Держатель оригинала документа: Reshetnev Siberian State University of Science and Technology, Siberian Federal University
Мероприятие: Hybrid Methods of Modeling and Optimization in Complex Systems (HMMOCS-III 2024) (Krasnoyarsk, 2024 ; 02.12 - 04.12)
Количество экземпляров:
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