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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Pubblicato in:J Neural Eng
Autori principali: Kulkarni, Prathamesh M., Xiao, Zhengdong, Robinson, Eric J., Jami, Apoorva Sagarwa, Zhang, Jianping, Zhou, Haocheng, Henin, Simon E., Liu, Anli A., Osorio, Ricardo S., Wang, Jing, Chen, Zhe
Natura: Artigo
Lingua:Inglês
Pubblicazione: 2019
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Article
Accesso online:https://ncbi.nlm.nih.gov/pmc/articles/PMC6527330/
https://ncbi.nlm.nih.gov/pubmed/30790769
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1088/1741-2552/ab0933
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