A deep learning approach for real-time detection of sleep spindles

Objective. Sleep spindles have been implicated in memory consolidation and synaptic plasticity during NREM sleep. Detection accuracy and latency in automatic spindle detection are critical for real-time applications. Approach. Here we propose a novel deep learning strategy (SpindleNet) to detect sle...

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Veröffentlicht in:	Journal of neural engineering 2019-06, Vol.16 (3), p.036004-036004
Hauptverfasser:	Kulkarni, Prathamesh M, Xiao, Zhengdong, Robinson, Eric J, Jami, Apoorva Sagarwal, Zhang, Jianping, Zhou, Haocheng, Henin, Simon E, Liu, Anli A, Osorio, Ricardo S, Wang, Jing, Chen, Zhe
Format:	Artikel
Sprache:	eng
Schlagworte:	deep learning sleep spindles spindle detection
Online-Zugang:	Volltext
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