Evolutionary inspired approach for mental stress detection using EEG signal

作者：

Highlights：

• Stationary Wavelet Transformed based signal decomposition.

• Entropy based feature extraction.

• WOA has been utilized for optimizing parameters of SVM and to perform feature weighting.

• Better classification rate for stress detection.

摘要

•Stationary Wavelet Transformed based signal decomposition.•Entropy based feature extraction.•WOA has been utilized for optimizing parameters of SVM and to perform feature weighting.•Better classification rate for stress detection.

论文关键词：Mental stress,Electroencephalogram,Stationary wavelet transform,Evolutionary inspired,Whale optimization algorithm,Support vector machine

论文评审过程：Received 22 June 2020, Revised 10 November 2021, Accepted 2 February 2022, Available online 19 February 2022, Version of Record 24 February 2022.

论文官网地址：https://doi.org/10.1016/j.eswa.2022.116634