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Graph Attention Networks for Detecting Epilepsy From EEG Signals Using Accessible Hardware in Low-Resource Settings

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Bibliographic Details
Published in:IEEE Open Journal of Engineering in Medicine and Biology
Format: Online Article RSS Article
Published: 2025
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container_title IEEE Open Journal of Engineering in Medicine and Biology
description
discipline_display Natural Sciences
discipline_facet Natural Sciences
format Online Article
RSS Article
genre Journal Article
id rss_article:19854
institution FRELIP
journal_source_facet IEEE Open Journal of Engineering in Medicine and Biology
publishDate 2025
publishDateSort 2025
record_format rss_article
spellingShingle Graph Attention Networks for Detecting Epilepsy From EEG Signals Using Accessible Hardware in Low-Resource Settings
Biology
Natural Sciences — Life Sciences
Natural Sciences
sub_discipline_display Natural Sciences — Life Sciences
sub_discipline_facet Natural Sciences — Life Sciences
subject_display Biology
Natural Sciences — Life Sciences
Natural Sciences
Biology
Natural Sciences — Life Sciences
Natural Sciences
subject_facet Biology
Natural Sciences — Life Sciences
Natural Sciences
title Graph Attention Networks for Detecting Epilepsy From EEG Signals Using Accessible Hardware in Low-Resource Settings
title_auth Graph Attention Networks for Detecting Epilepsy From EEG Signals Using Accessible Hardware in Low-Resource Settings
title_full Graph Attention Networks for Detecting Epilepsy From EEG Signals Using Accessible Hardware in Low-Resource Settings
title_fullStr Graph Attention Networks for Detecting Epilepsy From EEG Signals Using Accessible Hardware in Low-Resource Settings
title_full_unstemmed Graph Attention Networks for Detecting Epilepsy From EEG Signals Using Accessible Hardware in Low-Resource Settings
title_short Graph Attention Networks for Detecting Epilepsy From EEG Signals Using Accessible Hardware in Low-Resource Settings
title_sort graph attention networks for detecting epilepsy from eeg signals using accessible hardware in low-resource settings
topic Biology
Natural Sciences — Life Sciences
Natural Sciences
url http://ieeexplore.ieee.org/document/11287992