HFO Detection in Epilepsy: A Stacked Denoising Autoencoder and Sample Weight Adjusting Factors-Based Method

High-frequency oscillations (HFOs) recorded by the intracranial electroencephalography (iEEG) are the promising biomarkers of epileptogenic zones. Accurate detection of HFOs is the key to pre-operative assessment for epilepsy. Due to the subjective bias caused by manual features and the class imbala...

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Veröffentlicht in:	IEEE transactions on neural systems and rehabilitation engineering Jg. 29; S. 1965 - 1976
Hauptverfasser:	Wu, Min, Qin, Hongzhen, Wan, Xiongbo, Du, Yuxiao
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	New York IEEE 2021 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Schlagworte:	Biomarkers Classifiers EEG Electroencephalography ensemble classifier Epilepsy Feature extraction Hafnium oxide high-frequency oscillations Machine learning Noise reduction Oscillations Oscillators sample weight adjusting factors Seizures Sensitivity stacked denoising autoencoder Support vector machines Time-frequency analysis Training Weight
ISSN:	1534-4320, 1558-0210, 1558-0210
Online-Zugang:	Volltext
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