Assessing EEG sleep spindle propagation. Part 1: theory and proposed methodology.
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Sleep 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.Stage-independent, single lead EEG sleep spindle detection using the continuous wavelet transform and local weighted smoothing.Combining time-frequency and spatial information for the detection of sleep spindlesNREM2 and Sleep Spindles Are Instrumental to the Consolidation of Motor Sequence MemoriesAutomated detection of sleep spindles in the scalp EEG and estimation of their intracranial current sources: comments on techniques and on related experimental and clinical studies.
P2860
Assessing EEG sleep spindle propagation. Part 1: theory and proposed methodology.
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2013 nî lūn-bûn
@nan
2013 թուականի Օգոստոսին հրատարակուած գիտական յօդուած
@hyw
2013 թվականի օգոստոսին հրատարակված գիտական հոդված
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2013年の論文
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2013年論文
@yue
2013年論文
@zh-hant
2013年論文
@zh-hk
2013年論文
@zh-mo
2013年論文
@zh-tw
2013年论文
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name
Assessing EEG sleep spindle propagation. Part 1: theory and proposed methodology.
@ast
Assessing EEG sleep spindle propagation. Part 1: theory and proposed methodology.
@en
type
label
Assessing EEG sleep spindle propagation. Part 1: theory and proposed methodology.
@ast
Assessing EEG sleep spindle propagation. Part 1: theory and proposed methodology.
@en
prefLabel
Assessing EEG sleep spindle propagation. Part 1: theory and proposed methodology.
@ast
Assessing EEG sleep spindle propagation. Part 1: theory and proposed methodology.
@en
P1476
Assessing EEG sleep spindle propagation. Part 1: theory and proposed methodology
@en
P2093
Christian O'Reilly
Tore Nielsen
P304
P356
10.1016/J.JNEUMETH.2013.08.013
P577
2013-08-30T00:00:00Z