Identification of epilepsy from intracranial EEG signals by using different neural network models.

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第一作者： Chen,Gong

第一单位： School of Information Engineering, China University of Geosciences in Beijing, Beijing 100083, China.

作者： Chen,Gong ^[1] ; Xiaoxiong,Zhang ^[2] ; Yunyun,Niu ^[3]

作者单位： School of Information Engineering, China University of Geosciences in Beijing, Beijing 100083, China. ^[1] School of Chemical Engineering and Technology, Tianjin University, Tianjin 300350, China. ^[2] School of Information Engineering, China University of Geosciences in Beijing, Beijing 100083, China. Electronic address: yniu@cugb.edu.cn. ^[3]

关键词 Discrete wavelet transform (DWT)Epilepsy Intracranial EEG (iEEG)Learning vector quantization neural network (LVQ)Probabilistic neural network (PNN)

DOI 10.1016/j.compbiolchem.2020.107310

PMID 32599460

发布时间 2024-02-27

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Computational biology and chemistry

2020年87卷

107310页

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Identification of epilepsy from intracranial EEG signals by using different neural network models.

Computational biology and chemistry

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Computational biology and chemistry

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Identification of epilepsy from intracranial EEG signals by using different neural network models.

Computational biology and chemistry

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Computational biology and chemistry

相关期刊

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