Transductive domain adaptive learning for epileptic electroencephalogram recognition

作者：

Highlights：

• Epileptic EEG detection usually assumes same training and test data distribution.

• Transfer learning is used to deal with data of different distributions.

• The proposed algorithm has higher accuracy and stronger adaptability.

摘要

•Epileptic EEG detection usually assumes same training and test data distribution.•Transfer learning is used to deal with data of different distributions.•The proposed algorithm has higher accuracy and stronger adaptability.

论文关键词：Transfer learning,Wavelet packet decomposition,Short time Fourier transform,Kernel principal component analysis,Electroencephalogram,Epilepsy detection

论文评审过程：Received 12 November 2013, Revised 15 August 2014, Accepted 8 October 2014, Available online 16 October 2014.

论文官网地址：https://doi.org/10.1016/j.artmed.2014.10.002