Schlafspindeln – Funktion, Detektion und Nutzung als Biomarker für die psychiatrische Diagnostik
Author:
Publisher
Springer Science and Business Media LLC
Subject
Psychiatry and Mental health,Neurology (clinical),Neurology,General Medicine
Link
https://link.springer.com/content/pdf/10.1007/s00115-022-01340-z.pdf
Reference30 articles.
1. Antony JW, Piloto L, Wang M et al (2018) Sleep spindle refractoriness segregates periods of memory reactivation. Curr Biol 28:1736–1743.e4. https://doi.org/10.1016/j.cub.2018.04.020
2. Broughton R, Healey T, Maru J et al (1978) A phase locked loop device for automatic detection of sleep spindles and stage 2. Electroencephalogr Clin Neurophysiol 44:677–680. https://doi.org/10.1016/0013-4694(78)90134-7
3. Chambon S, Thorey V, Arnal PJ et al (2019) DOSED: A deep learning approach to detect multiple sleep micro-events in EEG signal. J Neurosci Methods 321:64–78. https://doi.org/10.1016/j.jneumeth.2019.03.017
4. Coppieters ’t Wallant D, Maquet P, Phillips C (2016) Sleep spindles as an Electrographic element: description and automatic detection methods. Neural Plast 2016:1–19. https://doi.org/10.1155/2016/6783812
5. Crowley K, Trinder J, Kim Y et al (2002) The effects of normal aging on sleep spindle and K‑complex production. Clin Neurophysiol 113:1615–1622. https://doi.org/10.1016/S1388-2457(02)00237-7
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