The impact of signal normalization on seizure detection using line length features.
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Optimal training dataset composition for SVM-based, age-independent, automated epileptic seizure detection.Improved epileptic seizure detection combining dynamic feature normalization with EEG novelty detectionIncreased Expression of Epileptiform Spike/Wave Discharges One Year after Mild, Moderate, or Severe Fluid Percussion Brain Injury in Rats.Automated approach to detecting behavioral states using EEG-DABS.Sparse representation-based EMD and BLDA for automatic seizure detection.
P2860
The impact of signal normalization on seizure detection using line length features.
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The impact of signal normalization on seizure detection using line length features.
@en
The impact of signal normalization on seizure detection using line length features.
@nl
type
label
The impact of signal normalization on seizure detection using line length features.
@en
The impact of signal normalization on seizure detection using line length features.
@nl
prefLabel
The impact of signal normalization on seizure detection using line length features.
@en
The impact of signal normalization on seizure detection using line length features.
@nl
P2860
P1476
The impact of signal normalization on seizure detection using line length features
@en
P2093
Esther Rodriguez-Villegas
Lojini Logesparan
P2860
P304
P356
10.1007/S11517-015-1303-X
P577
2015-05-16T00:00:00Z