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A Human-Machine Coupled System for Efficient Sleep Spindle Detection by Iterative Revision

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What this work says

Outgoing claims: the papers this work cites, builds on, or argues with.

inferredcites →https://doi.org/10.1016/j.artmed.2007.04.003openalex-snapshot
Development and comparison of four sleep spindle detection methods
inferredcites →https://doi.org/10.1016/j.biopsych.2011.08.008openalex-snapshot
Reduced Sleep Spindles and Spindle Coherence in Schizophrenia: Mechanisms of Impaired Memory Consolidation?
inferredcites →https://doi.org/10.1016/j.bspc.2014.01.010openalex-snapshot
Automatic detection of spindles and K-complexes in sleep EEG using switching multiple models
inferredcites →https://doi.org/10.1016/j.cmpb.2005.02.006openalex-snapshot
Sleep spindle detection using artificial neural networks trained with filtered time-domain EEG: A feasibility study
inferredcites →https://doi.org/10.1016/j.cub.2018.04.020openalex-snapshot
Sleep Spindle Refractoriness Segregates Periods of Memory Reactivation
inferredcites →https://doi.org/10.1016/j.eswa.2009.01.061openalex-snapshot
Efficient sleep spindle detection algorithm with decision tree
inferredcites →https://doi.org/10.1016/j.jneumeth.2009.04.006openalex-snapshot
Sleep spindles and spike–wave discharges in EEG: Their generic features, similarities and distinctions disclosed with Fourier transform and continuous wavelet analysis
inferredcites →https://doi.org/10.1016/j.neubiorev.2010.12.003openalex-snapshot
The function of the sleep spindle: A physiological index of intelligence and a mechanism for sleep-dependent memory consolidation
inferredcites →https://doi.org/10.1038/nature17427openalex-snapshot
Thalamic reticular impairment underlies attention deficit in Ptchd1Y/− mice
inferredcites →https://doi.org/10.1038/ncomms15930openalex-snapshot
Characterizing sleep spindles in 11,630 individuals from the National Sleep Research Resource
inferredcites →https://doi.org/10.1038/nmeth.2855openalex-snapshot
Sleep-spindle detection: crowdsourcing and evaluating performance of experts, non-experts and automated methods
inferredcites →https://doi.org/10.1038/nrn2762openalex-snapshot
The memory function of sleep
inferredcites →https://doi.org/10.1046/j.1365-2869.2000.00220.xopenalex-snapshot
Optimization of sigma amplitude threshold in sleep spindle detection
inferredcites →https://doi.org/10.1109/embc.2014.6944313openalex-snapshot
Amplitude normalization applied to an artificial neural network-based automatic sleep spindle detection system
inferredcites →https://doi.org/10.1109/embc.2015.7318980openalex-snapshot
Sleep spindle detection using deep learning: A validation study based on crowdsourcing
inferredcites →https://doi.org/10.1109/iembs.2011.6090491openalex-snapshot
Automatic sleep spindles detection — Overview and development of a standard proposal assessment method
inferredcites →https://doi.org/10.1176/ajp.2007.164.3.483openalex-snapshot
Reduced Sleep Spindle Activity in Schizophrenia Patients
inferredcites →https://doi.org/10.1177/155005949402500108openalex-snapshot
Automatic Sleep-Spindle Detection Procedure: Aspects of Reliability and Validity
inferredcites →https://doi.org/10.3389/fnhum.2015.00624openalex-snapshot
Automatic Sleep Spindle Detection and Genetic Influence Estimation Using Continuous Wavelet Transform
inferredcites →https://doi.org/10.5281/zenodo.39304openalex-snapshot
Automatic Sleep Spindle Detection And Localization Algorithm

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inferred← citeshttps://doi.org/10.1152/physrev.00042.2018openalex-snapshot
Sleep Spindles: Mechanisms and Functions
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