ArticleScientific reports2022
Advanced sleep spindle identification with neural networks.
Article in Scientific reports, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.
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Who cites it
16 citing papers in PubMed.
- Boundary-Dependent Sleep-Wake Dysregulation in Idiopathic Hypersomnia.Annals of clinical and translational neurology · 2026Article
- From sleep staging to spindle detection: a case study on end-to-end automated sleep analysis.Scientific reports · 2026Article
- Exploration of sleep spindles from surgically induced unilaterally deaf adult humans with and without tinnitus.Clinical neurophysiology practice · 2026Article
- Review
- OpenSpindleNet: An open-source deep learning network for reliable sleep spindle detection in scalp and intracranial EEG.Computers in biology and medicine · 2025Article
- Competitive roles of slow/delta oscillation-nesting-mediated sleep disruption under acute methamphetamine exposure in monkeys.Journal of Zhejiang University. Science. B · 2025Article
- Article
- Artificial Intelligence Can Drive Sleep Medicine.Sleep medicine clinics · 2025Review
- Semi automatic quantification of REM sleep without atonia in natural sleep environment.NPJ digital medicine · 2024Article
- A personalized semi-automatic sleep spindle detection (PSASD) framework.Journal of neuroscience methods · 2024Article
- Strengths, weaknesses, opportunities, and threats of using AI-enabled technology in sleep medicine: a commentary.Journal of clinical sleep medicine : JCSM : official publication of the American Academy of Sleep Medicine · 2024Review
- Two-Stage Atomic Decomposition of Multichannel EEG and the Previously Undetectable Sleep Spindles.Sensors (Basel, Switzerland) · 2024Article
- Associations Between Sleep Spindle Metrics, Age, Education and Executive Function in Young Adult and Middle-Aged Patients with Obstructive Sleep Apnea.Nature and science of sleep · 2024Article
- Factors affecting discrepancies between scorers in manual sleep spindle detections in single-channel electroencephalography in young adult males.Frontiers in sleep · 2024Article
- [Sleep spindles-Function, detection and use as biomarker for diagnostics in psychiatry].Der Nervenarzt · 2022Review
- Advanced sleep spindle identification with neural networks.Scientific reports · 2022Article
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Authors and funding
5 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Sleep spindles are neurophysiological phenomena that appear to be linked to memory formation and other functions of the central nervous system, and that can be observed in electroencephalographic recordings (EEG) during sleep. Manually identified spindle annotations in EEG recordings suffer from substantial intra- and inter-rater variability, even if raters have been highly trained, which reduces the reliability of spindle measures as a research and diagnostic tool. The Massive Online Data Annotation (MODA) project has recently addressed this problem by forming a consensus from multiple such rating experts, thus providing a corpus of spindle annotations of enhanced quality. Based on this dataset, we present a U-Net-type deep neural network model to automatically detect sleep spindles. Our model's performance exceeds that of the state-of-the-art detector and of most experts in the MODA dataset. We observed improved detection accuracy in subjects of all ages, including older individuals whose spindles are particularly challenging to detect reliably. Our results underline the potential of automated methods to do repetitive cumbersome tasks with super-human performance.
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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.