Sleep-spindle detection: crowdsourcing and evaluating performance of experts, non-experts and automated methods.
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Sleep Spindles as an Electrographic Element: Description and Automatic Detection MethodsSleep spindle and K-complex detection using tunable Q-factor wavelet transform and morphological component analysisAutomatic sleep spindle detection: benchmarking with fine temporal resolution using open science tools.Acoustic Enhancement of Sleep Slow Oscillations and Concomitant Memory Improvement in Older Adults.Crowdsourcing scoring of immunohistochemistry images: Evaluating Performance of the Crowd and an Automated Computational MethodMontreal Archive of Sleep Studies: an open-access resource for instrument benchmarking and exploratory research.Meet Spinky: An Open-Source Spindle and K-Complex Detection Toolbox Validated on the Open-Access Montreal Archive of Sleep Studies (MASS).Evaluating and Improving Automatic Sleep Spindle Detection by Using Multi-Objective Evolutionary Algorithms.Stage-independent, single lead EEG sleep spindle detection using the continuous wavelet transform and local weighted smoothing.Interpretation of the Precision Matrix and Its Application in Estimating Sparse Brain Connectivity during Sleep Spindles from Human Electrocorticography RecordingsCharacterizing sleep spindles in 11,630 individuals from the National Sleep Research Resource.Early adolescent cognitive gains are marked by increased sleep EEG coherenceCrowdsourcing image annotation for nucleus detection and segmentation in computational pathology: evaluating experts, automated methods, and the crowdA comparison of two sleep spindle detection methods based on all night averages: individually adjusted vs. fixed frequenciesCombining time-frequency and spatial information for the detection of sleep spindlesUsing crowdsourcing to evaluate published scientific literature: methods and example.Sleep spindle alterations in patients with Parkinson's diseaseSpindles in Svarog: framework and software for parametrization of EEG transients.Inter-expert and intra-expert reliability in sleep spindle scoring.Sleep spindles and human cortical nociception: a surface and intracerebral electrophysiological study.The Multidimensional Aspects of Sleep Spindles and Their Relationship to Word-Pair Memory ConsolidationExpert and crowd-sourced validation of an individualized sleep spindle detection method employing complex demodulation and individualized normalizationEffects of oral temazepam on sleep spindles during non-rapid eye movement sleep: A high-density EEG investigation.Test Expectation Enhances Memory Consolidation across Both Sleep and WakeAutomatic Sleep Spindle Detection and Genetic Influence Estimation Using Continuous Wavelet TransformInterictal Hippocampal Spiking Influences the Occurrence of Hippocampal Sleep Spindles.Sleep spindle detection based on non-experts: A validation studySleep after practice reduces the attentional blink.Developmental Changes in Sleep Spindle Characteristics and Sigma Power across Early ChildhoodSleep Spindles Characteristics in Insomnia Sufferers and Their Relationship with Sleep MisperceptionAutomatic detection of rapid eye movements (REMs): A machine learning approach.Sleep spindle deficits in antipsychotic-naïve early course schizophrenia and in non-psychotic first-degree relatives.The effect of sleep on motor learning in the aging and stroke population - a systematic review.Night sleep in patients with vegetative state.Sleep Spindle Deficit in Schizophrenia: Contextualization of Recent Findings.REM sleep behaviour disorder is associated with lower fast and higher slow sleep spindle densities.Sleep Neurophysiological Dynamics Through the Lens of Multitaper Spectral Analysis.Fusing Continuous-Valued Medical Labels Using a Bayesian Model.Sleep: An Open-Source Python Software for Visualization, Analysis, and Staging of Sleep Data.Minimizing Interrater Variability in Staging Sleep by Use of Computer-Derived Features.
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P2860
Sleep-spindle detection: crowdsourcing and evaluating performance of experts, non-experts and automated methods.
description
article científic
@ca
article scientifique
@fr
articolo scientifico
@it
artigo científico
@pt
bilimsel makale
@tr
scientific article published on 23 February 2014
@en
vedecký článok
@sk
vetenskaplig artikel
@sv
videnskabelig artikel
@da
vědecký článek
@cs
name
Sleep-spindle detection: crowd ...... experts and automated methods.
@en
Sleep-spindle detection: crowd ...... experts and automated methods.
@nl
type
label
Sleep-spindle detection: crowd ...... experts and automated methods.
@en
Sleep-spindle detection: crowd ...... experts and automated methods.
@nl
prefLabel
Sleep-spindle detection: crowd ...... experts and automated methods.
@en
Sleep-spindle detection: crowd ...... experts and automated methods.
@nl
P2093
P2860
P50
P356
P1433
P1476
Sleep-spindle detection: crowd ...... experts and automated methods.
@en
P2093
Emil G S Munk
Oscar Carrillo
Paul E Peppard
Peter Welinder
Pietro Perona
Sabrina L Wendt
Simon C Warby
P2860
P2888
P304
P356
10.1038/NMETH.2855
P4510
P577
2014-02-23T00:00:00Z