Spindle Detection

Benchmarks archive 2025-07-28

4 leaderboard tables shown for this task, 4 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

3 datasets 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

8 shown of 8 papers with code (9 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.

• From Sleep Staging to Spindle Detection: Evaluating End-to-End Automated Sleep Analysis
  8 May 2025 1 repository listed
  Automation of sleep analysis, including both macrostructural (sleep stages) and microstructural (e.
• Unveil Sleep Spindles with Concentration of Frequency and Time
  27 Oct 2023 1 repository listed
  We introduce the novel non-linear time-frequency analysis tool 'Concentration of Frequency and Time' (ConceFT) to create an interpretable automated algorithm for sleep spindle annotation in EEG data and to measure…
• 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.
• The Portiloop: a deep learning-based open science tool for closed-loop brain stimulation
  28 Jul 2021 1 repository listed
  Closed-loop brain stimulation refers to capturing neurophysiological measures such as electroencephalography (EEG), quickly identifying neural events of interest, and producing auditory, magnetic or electrical…
• 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.
• 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.
• Multichannel sleep spindle detection using sparse low-rank optimization
  15 Aug 2017 1 repository listed
  Using a non-linear signal model, which assumes the input EEG to be the sum of a transient and an oscillatory component, we propose a multichannel transient separation algorithm.
• Meet Spinky: An Open-Source Spindle and K-Complex Detection Toolbox Validated on the Open-Access Montreal Archive of Sleep Studies (MASS).
  2 Mar 2017 1 repository listed
  Although tedious and time-consuming, their identification and quantification is important for sleep studies in both healthy subjects and patients with sleep disorders.