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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
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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
General
Biology
sub_discipline_display General
sub_discipline_facet General
subject_display Biology
General
Biology
Biology
General
Biology
subject_facet Biology
General
Biology
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
General
Biology
url http://ieeexplore.ieee.org/document/11287992