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InsoNet: Time Frequency Representation Using Superlet Transform and CNN for Automated Insomnia Detection From ECG Signals

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Published in:IEEE Access
Format: Online Article RSS Article
Published: 2026
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spellingShingle InsoNet: Time Frequency Representation Using Superlet Transform and CNN for Automated Insomnia Detection From ECG Signals
Computer Sciience
General
Computer Sciience
sub_discipline_display General
sub_discipline_facet General
subject_display Computer Sciience
General
Computer Sciience
Computer Sciience
General
Computer Sciience
subject_facet Computer Sciience
General
Computer Sciience
title InsoNet: Time Frequency Representation Using Superlet Transform and CNN for Automated Insomnia Detection From ECG Signals
title_auth InsoNet: Time Frequency Representation Using Superlet Transform and CNN for Automated Insomnia Detection From ECG Signals
title_full InsoNet: Time Frequency Representation Using Superlet Transform and CNN for Automated Insomnia Detection From ECG Signals
title_fullStr InsoNet: Time Frequency Representation Using Superlet Transform and CNN for Automated Insomnia Detection From ECG Signals
title_full_unstemmed InsoNet: Time Frequency Representation Using Superlet Transform and CNN for Automated Insomnia Detection From ECG Signals
title_short InsoNet: Time Frequency Representation Using Superlet Transform and CNN for Automated Insomnia Detection From ECG Signals
title_sort insonet: time frequency representation using superlet transform and cnn for automated insomnia detection from ecg signals
topic Computer Sciience
General
Computer Sciience
url http://ieeexplore.ieee.org/document/11535796