Assessing of frequency dynamics of EEG signals in a visualization experiment related to crime deterrence

Abstract

The purpose of this document is to assess Electroencephalographic (EEG) signal frequency dynamics in visual stimuli related to crime deterrence from an inexpensive device. The signals were acquired from 4 participants, with an EMOTIV EPOC 14 channel EEG device, while visual stimuli (deterrence and neutral) were presented, also an eye-tracking device was used to follow the participants visual path through the images, the experimental design was developed in the Paradigm software and the signal processing in Python using MNE for the EEG data analysis. Methods: The signal pass by a preprocessing which includes filtering, denoising and ICA object rejection, then the Global Field Power (GFP) is calculated to track the temporal dynamics of frequency bands theta, alpha, beta and gamma, finally differential GFP for theta and alpha bands is calculated and maximal temporal frequency responses are represented. The process applied shows dynamic characteristics of frequency bands and allows maximal localization of its responses.