AR based quadratic feature extraction in the VMD domain for the automated seizure detection of EEG using random forest classifier
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- 作者：Tao Zhang ; Wanzhong Chen ; chenwz@jlu.edu.cn" class="auth_mail" title="E-mail the corresponding author ; Mingyang Li
- 关键词：Epileptic electroencephalogram (EEG) ; Automated seizure detection ; Variational mode decomposition (VMD) ; Autoregression (AR) ; Quadratic feature extraction ; Random forest classifier
- 刊名：Biomedical Signal Processing and Control
- 出版年：2017
- 出版时间：January 2017
- 年：2017
- 卷：31
- 期：Complete
- 页码：550-559
- 全文大小：2810 K
文摘
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Variational mode decomposition (VMD), a new method was applied in seizure detection.
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A novel autoregression (AR) based quadratic feature extraction was proposed.
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Four criteria, aiming at establishing optimal AR model were investigated.
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AR based quadratic feature extraction outperforms fixed-order AR based feature extraction.