RIPPLELAB: A Comprehensive Application for the Detection, Analysis and Classification of High Frequency Oscillations in Electroencephalographic Signals
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What are the assets and weaknesses of HFO detectors? A benchmark framework based on realistic simulations.How to record high-frequency oscillations in epilepsy: A practical guideline.Automated Detector of High Frequency Oscillations in Epilepsy Based on Maximum Distributed Peak Points.Variability in the location of high frequency oscillations during prolonged intracranial EEG recordings.High-Frequency Oscillations in the Scalp Electroencephalogram: Mission Impossible without Computational Intelligence
P2860
RIPPLELAB: A Comprehensive Application for the Detection, Analysis and Classification of High Frequency Oscillations in Electroencephalographic Signals
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2016 nî lūn-bûn
@nan
2016年の論文
@ja
2016年論文
@yue
2016年論文
@zh-hant
2016年論文
@zh-hk
2016年論文
@zh-mo
2016年論文
@zh-tw
2016年论文
@wuu
2016年论文
@zh
2016年论文
@zh-cn
name
RIPPLELAB: A Comprehensive App ...... lectroencephalographic Signals
@ast
RIPPLELAB: A Comprehensive App ...... lectroencephalographic Signals
@en
type
label
RIPPLELAB: A Comprehensive App ...... lectroencephalographic Signals
@ast
RIPPLELAB: A Comprehensive App ...... lectroencephalographic Signals
@en
prefLabel
RIPPLELAB: A Comprehensive App ...... lectroencephalographic Signals
@ast
RIPPLELAB: A Comprehensive App ...... lectroencephalographic Signals
@en
P2860
P1433
P1476
RIPPLELAB: A Comprehensive App ...... lectroencephalographic Signals
@en
P2093
Catalina Alvarado-Rojas
Michel Le Van Quyen
P2860
P304
P356
10.1371/JOURNAL.PONE.0158276
P407
P577
2016-06-24T00:00:00Z