Sleep Micro-event detection

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Most implemented papers archive 2025-07-28

5 shown of 5 papers with code (5 tagged with this task in all), ordered by repositories listed in the archive, not by stars (the archive holds no stars, so PwC's “Social” and “Latest” sorts cannot be reproduced). Papers without a page here are shown as plain text.

• DeepSleep 2.0: Automated Sleep Arousal Segmentation via Deep Learning
  1 Mar 2022 1 repository listed
  DeepSleep 2.
• Advanced sleep spindle identification with neural networks
  6 Feb 2022 1 repository listed
  Our model's performance exceeds that of the state-of-the-art detector and of most experts in the MODA dataset.
• RED: Deep Recurrent Neural Networks for Sleep EEG Event Detection
  15 May 2020 1 repository listed
  The brain electrical activity presents several short events during sleep that can be observed as distinctive micro-structures in the electroencephalogram (EEG), such as sleep spindles and K-complexes.
• Deepsleep: Fast and Accurate Delineation of Sleep Arousals at Millisecond Resolution by Deep Learning
  7 Sep 2019 1 repository listed
  Background: Sleep arousals are transient periods of wakefulness punctuated into sleep.
• DOSED: a deep learning approach to detect multiple sleep micro-events in EEG signal
  7 Dec 2018 1 repository listed
  The proposed approach, applied here on sleep related micro-architecture events, is inspired by object detectors developed for computer vision such as YOLO and SSD.