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Electroencephalogramdata analysis usingConvolutional NeuralNetworks and GramianAngular Field Egorova LyudmilaRozhnov IvanKazakovtsev Lev2024 год

Electroencephalogram data analysis using Convolutional Neural Networks and Gramian Angular Field : доклад, тезисы доклада
доклад, тезисы доклада, статья из сборника материалов конференций

Дополнительные ссылки: eLibrary · Источник статьи · eLibrary
База данных: Каталог библиотеки СФУ
Библиографическое описание: Electroencephalogram data analysis using Convolutional Neural Networks and Gramian Angular Field : доклад, тезисы доклада / L. L. Egorova [et al.]. - [S. l. : s. n.], 2024. - Текст : непосредственный // Hybrid Methods of Modeling and Optimization in Complex Systems (HMMOCS-II-2023) : Proceedings of the II International Workshop / Hybrid Methods of Modeling and Optimization in Complex Systems (HMMOCS-II-2023) (2023 ; 28.11 - 30.11 ; Krasnoyarsk). - Krasnoyarsk, 2024. - P. 3017. - This 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/20245903017.
Аннотация: Abstract. The paper proposes a binary classification model designed to analyze electroencephalograms data to detecting pathologies associated with epilepsy. The model is based on the Convolutional Neural Network. As input data for the neural network, images obtained by transforming the values of the original electroencephalograms time series based on the Gramian Angular Field matrix were used. The model was trained on data from the Temple University Hospital electroencephalograms Seizure Corpus open data source. The proposed model demonstrated high performance metrics: accuracy - 91%, precision - 92%, recall - 95%, F1-0.93.
Год издания: 2024
Авторы: Egorova Lyudmila , Rozhnov Ivan , Kazakovtsev Lev , Polyakova Anastasiya
Издательство: Krasnoyarsk
Номера страниц: 3017
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-II-2023) (Krasnoyarsk, 2023 ; 28.11 - 30.11)
Количество экземпляров:
Твёрдая копия издания отсутствует в фонде библиотеки

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