A progressive deep wavelet cascade classification model for epilepsy detection

作者：

Highlights：

• Devised a progressive deep wavelet cascade classification model.

• Recognition accuracy of the PDWC is improved through multiple classification cycles.

• The PDWC has an adaptive cascade structure with less parameters.

摘要

•Devised a progressive deep wavelet cascade classification model.•Recognition accuracy of the PDWC is improved through multiple classification cycles.•The PDWC has an adaptive cascade structure with less parameters.

论文关键词：EEG,Epilepsy detection,Discrete wavelet transform,Random forest,Cascade structure

论文评审过程：Received 4 October 2020, Revised 11 April 2021, Accepted 21 May 2021, Available online 28 May 2021, Version of Record 10 June 2021.

论文官网地址：https://doi.org/10.1016/j.artmed.2021.102117