Electrodermal complexity during the Stroop Colour Word Test

Abstract

Several recent studies suggest that quantitative description of signal complexity using algorithms of nonlinear analysis could uncover new information about the autonomic system that is not reflected using common linear methods. Findings of this study indicate that complexity provides novel information in comparison to traditional methods.

Keywords

• Electrodermal activity
• Complexity
• Autonomic nervous system
• Stroop test
• nonlinear dynamic complexity
• dimensional complexity
• lyapunov exponent
• human eeg
• heartbeat intervals
• deterministic chaos
• attractor dimension
• human amygdala
• sleep eeg
• brain