Classify epileptic EEG signals using weighted complex networks based community structure detection

作者：

Highlights：

• Weighted complex networks are used to analyse multichannel EEG signals.

• The modularity of networks is used to detect the epileptic EEG events.

• Based on the obtained results, the proposed method has a high noise tolerance.

摘要

•Weighted complex networks are used to analyse multichannel EEG signals.•The modularity of networks is used to detect the epileptic EEG events.•Based on the obtained results, the proposed method has a high noise tolerance.

论文关键词：Epileptic EEG signals,Modularity,Statistical features,Weighted complex networks

论文评审过程：Received 11 May 2017, Revised 4 August 2017, Accepted 5 August 2017, Available online 9 August 2017, Version of Record 12 August 2017.

论文官网地址：https://doi.org/10.1016/j.eswa.2017.08.012