Assessment of dispersion patterns for negative stress detection from electroencephalographic signals

作者：

Highlights：

• Dispersion entropy is able to detect calm and negative stress from brain signals.

• Right frontal and left parietal are the most relevant areas for distress detection.

• Dispersion patterns are more suitable for distress than for calm recognition.

• Combining symbolic and regularity entropies overcame the results in previous works.

摘要

•Dispersion entropy is able to detect calm and negative stress from brain signals.•Right frontal and left parietal are the most relevant areas for distress detection.•Dispersion patterns are more suitable for distress than for calm recognition.•Combining symbolic and regularity entropies overcame the results in previous works.

论文关键词：Electroencephalography,Distress,Dispersion patterns,Nonlinear analysis

论文评审过程：Received 22 December 2020, Revised 22 April 2021, Accepted 3 June 2021, Available online 10 June 2021, Version of Record 22 June 2021.

论文官网地址：https://doi.org/10.1016/j.patcog.2021.108094