{"url":"/task/spindle-detection","name":"Spindle Detection","slug":"spindle-detection","description_markdown":null,"categories":[{"name":"Medical","url":"/area/medical"}],"source":{"archive":"pwc-archive (Hugging Face), CC BY-SA 4.0","snapshot":"2025-07-28","slug_source":"archive_url"},"counts":{"papers_tagged":9,"papers_with_code":8,"benchmarks":4,"benchmark_tables_in_archive":4,"benchmark_tables_shown":4,"benchmark_tables_withheld_as_spam":0,"benchmark_definition":"a leaderboard table with at least one row; benchmark_tables_shown also counts the zero-row tables; benchmark_tables_in_archive adds the tables withheld as spam","datasets":3,"subtasks":0,"parent_tasks":1},"benchmarks":[{"leaderboard":"/sota/spindle-detection-on-mass-ss2","slug":"spindle-detection-on-mass-ss2","dataset":"MASS SS2","dataset_url":"/dataset/mass","rows_in_archive":6,"metrics":["F1-score (@IoU = 0.3)","F1-score (@IoU = 0.2)"],"first_row_in_archive_order":{"model":"RED-Time","paper_title":"RED: Deep Recurrent Neural Networks for Sleep EEG Event Detection","paper_url":"/paper/red-deep-recurrent-neural-networks-for-sleep","paper_date":"2020-05-15","arxiv_id":"2005.07795","code_links":[{"title":"nicolasigor/cmorlet-tensorflow","url":"https://github.com/nicolasigor/cmorlet-tensorflow"}],"syntology":null}},{"leaderboard":"/sota/spindle-detection-on-moda-dataset","slug":"spindle-detection-on-moda-dataset","dataset":"MODA dataset","dataset_url":"/dataset/moda-dataset","rows_in_archive":1,"metrics":["F1-score (@IoU = 0.2, all age groups)","F1-score (@IoU = 0.2, older individuals)","F1-score (@IoU = 0.2, young individuals)"],"first_row_in_archive_order":{"model":"SUMO","paper_title":"Advanced sleep spindle identification with neural networks","paper_url":"/paper/sumo-advanced-sleep-spindle-identification","paper_date":"2022-02-06","arxiv_id":"2202.05158","code_links":[{"title":"dslaborg/sumo","url":"https://github.com/dslaborg/sumo"}],"syntology":null}},{"leaderboard":"/sota/spindle-detection-on-stanford-sleep-cohort","slug":"spindle-detection-on-stanford-sleep-cohort","dataset":"Stanford Sleep Cohort (SSC)","dataset_url":null,"rows_in_archive":1,"metrics":["F1-score (@IoU = 0.3)"],"first_row_in_archive_order":{"model":"DOSED","paper_title":"DOSED: a deep learning approach to detect multiple sleep micro-events in EEG signal","paper_url":"/paper/dosed-a-deep-learning-approach-to-detect","paper_date":"2018-12-07","arxiv_id":"1812.04079","code_links":[{"title":"Dreem-Organization/dosed","url":"https://github.com/Dreem-Organization/dosed"}],"syntology":null}},{"leaderboard":"/sota/spindle-detection-on-wisconsin-sleep-cohort","slug":"spindle-detection-on-wisconsin-sleep-cohort","dataset":"Wisconsin Sleep Cohort (WSC)","dataset_url":null,"rows_in_archive":1,"metrics":["F1-score (@IoU = 0.3)"],"first_row_in_archive_order":{"model":"DOSED","paper_title":"DOSED: a deep learning approach to detect multiple sleep micro-events in EEG signal","paper_url":"/paper/dosed-a-deep-learning-approach-to-detect","paper_date":"2018-12-07","arxiv_id":"1812.04079","code_links":[{"title":"Dreem-Organization/dosed","url":"https://github.com/Dreem-Organization/dosed"}],"syntology":null}}],"datasets":[{"url":"/dataset/mass","name":"MaSS","full_name":"","num_papers_in_archive":15},{"url":"/dataset/montreal-archive-of-sleep-studies","name":"Montreal Archive of Sleep Studies","full_name":"Montreal Archive of Sleep Studies","num_papers_in_archive":15},{"url":"/dataset/moda-dataset","name":"MODA dataset","full_name":"Massive Online Data Annotation Spindle Dataset","num_papers_in_archive":1}],"subtasks":[],"parent_tasks":[{"url":"/task/sleep-quality","name":"Sleep Quality"}],"papers":{"order":"repositories listed in the archive (desc), then date (desc); the archive holds no stars","population":"papers tagged with this task that list at least one repository in the archive","shown":8,"of":8,"tagged_in_all":9,"items":[{"url":"/paper/from-sleep-staging-to-spindle-detection","title":"From Sleep Staging to Spindle Detection: Evaluating End-to-End Automated Sleep Analysis","date":"2025-05-08","arxiv_id":"2505.05371","repositories_listed":1,"syntology":null},{"url":"/paper/unveil-sleep-spindles-with-concentration-of","title":"Unveil Sleep Spindles with Concentration of Frequency and Time","date":"2023-10-27","arxiv_id":"2310.18381","repositories_listed":1,"syntology":null},{"url":"/paper/sumo-advanced-sleep-spindle-identification","title":"Advanced sleep spindle identification with neural networks","date":"2022-02-06","arxiv_id":"2202.05158","repositories_listed":1,"syntology":null},{"url":"/paper/the-portiloop-a-deep-learning-based-open","title":"The Portiloop: a deep learning-based open science tool for closed-loop brain stimulation","date":"2021-07-28","arxiv_id":"2107.13473","repositories_listed":1,"syntology":null},{"url":"/paper/red-deep-recurrent-neural-networks-for-sleep","title":"RED: Deep Recurrent Neural Networks for Sleep EEG Event Detection","date":"2020-05-15","arxiv_id":"2005.07795","repositories_listed":1,"syntology":null},{"url":"/paper/dosed-a-deep-learning-approach-to-detect","title":"DOSED: a deep learning approach to detect multiple sleep micro-events in EEG signal","date":"2018-12-07","arxiv_id":"1812.04079","repositories_listed":1,"syntology":null},{"url":"/paper/multichannel-sleep-spindle-detection-using","title":"Multichannel sleep spindle detection using sparse low-rank optimization","date":"2017-08-15","arxiv_id":null,"repositories_listed":1,"syntology":null},{"url":"/paper/meet-spinky-an-open-source-spindle-and-k","title":"Meet Spinky: An Open-Source Spindle and K-Complex Detection Toolbox Validated on the Open-Access Montreal Archive of Sleep Studies (MASS).","date":"2017-03-02","arxiv_id":null,"repositories_listed":1,"syntology":null}],"syntology_records":0,"syntology_note":"a paper without a record is not a recorded non-run: it may lack an arXiv id or simply be absent from the graph layer"},"description_links":{"kept":0,"unwrapped_to_text":0,"bare_urls_linked":0,"relative_images_dropped":0,"rule":"internal links are kept only when the target slug exists in the catalog"},"syntology":{"read_at":"2026-09-24T18:15:14+00:00","claim":"Per-sample execution status on synthesized fixtures ('ran N of M samples'); not a correctness claim and not a ranking signal.","status_vocabulary":{"ran_honours":"ran, honoured the contract we drafted","ran_violates":"ran, violated the contract we drafted","ran_draft_wrong":"ran; our contract draft was wrong, not the code","ran_fixture":"ran; our fixture could not drive it","ran":"ran on a synthesized input","unverified":"unverified (harvested, no recorded run)"}},"not_shown":{"libraries":"the archive has no per-task library table","trend_sparklines":"the Trend column of the benchmarks table was a rendered image; it is not in the archive","social_and_latest_sorts":"stars and social signals are not in the archive"}}