Sleep apnea detection

Benchmarks archive 2025-07-28

2 leaderboard tables shown for this task, 2 with rows (a “benchmark” on this site is a table with at least one row, as on /sota), ordered by row count. “Best model” is the first row in the archive's own order at snapshot; nothing is re-ranked here and metric direction is not recorded in the archive. PwC's Trend sparklines are not in the archive, so that column is omitted.

Syntology column: samples harvested from the paper's repositories and executed on synthesized fixtures; “ran” is not a correctness claim and does not order the table. A dash means no Syntology record for that paper, not a recorded non-run. Read from the graph 2026-09-24.

Libraries

Not in the archive: the export carries no per-task library table, so there is nothing to show at snapshot 2025-07-28.

Datasets archive 2025-07-28

1 dataset whose archive record lists this task, ordered by the archive's paper count.

Subtasks archive 2025-07-28

No subtask under this task in the archive's task tree.

Parent tasks archive 2025-07-28

Most implemented papers archive 2025-07-28

7 shown of 7 papers with code (20 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.

• Sleep Apnea Detection From Single-Lead ECG: A Comprehensive Analysis of Machine Learning and Deep Learning Algorithms
  15 Feb 2022 1 repository listed
  https://ieeexplore.
• SomnNET: An SpO2 Based Deep Learning Network for Sleep Apnea Detection in Smartwatches
  25 Aug 2021 1 repository listed
  A novel method for the detection of sleep apnea events (pause in breathing) from peripheral oxygen saturation (SpO2) signals obtained from wearable devices is discussed in this paper.
• A 1D-CNN Based Deep Learning Technique for Sleep Apnea Detection in IoT Sensors
  2 May 2021 1 repository listed
  This paper introduces a novel method for apnea detection (pause in breathing) from electrocardiogram (ECG) signals obtained from wearable devices.
• Using Under-trained Deep Ensembles to Learn Under Extreme Label Noise
  23 Sep 2020 1 repository listed
  A new model is trained with these labels to generalize reliably despite the label noise.
• Learning Realistic Patterns from Unrealistic Stimuli: Generalization and Data Anonymization
  21 Sep 2020 1 repository listed
  We use sleep monitoring data from both an open and a large closed clinical study and evaluate whether (1) end-users can create and successfully use customized classification models for sleep apnea detection, and (2) the…
• Non-contact Infant Sleep Apnea Detection
  10 Oct 2019 1 repository listed
  This paper presents a novel algorithm for the detection of sleep apnea with video processing.
• 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.