Sleep-spindle detection: crowdsourcing and evaluating performance of experts, non-experts and automated methods

A comparative analysis of methods for scoring human sleep data, in particular sleep spindles, from encephalographic recordings is reported. The authors develop methods for crowdsourcing the identification of sleep spindles and compare the detection performance of experts, non-experts and automated a...

Ausführliche Beschreibung

Gespeichert in:

Bibliographische Detailangaben
Veröffentlicht in:	Nature methods 2014-04, Vol.11 (4), p.385-392
Hauptverfasser:	Warby, Simon C, Wendt, Sabrina L, Welinder, Peter, Munk, Emil G S, Carrillo, Oscar, Sorensen, Helge B D, Jennum, Poul, Peppard, Paul E, Perona, Pietro, Mignot, Emmanuel
Format:	Artikel
Sprache:	eng
Schlagworte:	631/1647/1453/1450 631/378/1385 631/443/376 692/308/1892 9/26 Aged Algorithms analysis Automation Bioinformatics Biological Microscopy Biological Techniques Biomedical Engineering/Biotechnology Brain Crowdsourcing Electroencephalography Encephalitis Health aspects Humans Internet Life Sciences Methods Middle Aged Physiology Proteomics Sleep Sleep Stages - physiology
Online-Zugang:	Volltext
Tags:	Tag hinzufügen Keine Tags, Fügen Sie den ersten Tag hinzu!

Schreiben Sie den ersten Kommentar!