Review of the Comparative Research on the Sensitivity to Anxiety of the Y and Z Generations Based on Brain Neurophysiology Data

EasyChair Preprint 13798

Abstract

Our research aims to study how the neurophysiological waves generated in the brain change when a person receives from the work environment. Brain computer analysis has identified that neurophysiological wave changes occur in the frontal lobe of the brain during the brain response. Based on brain computer analysis, it was believed that different anxiety symptoms can occur in each employee depending on the type of communication that may occur in the work environment. It stated a hypothesis that the anxiety sensitivity of Z and Y generations can be studied by comparing the brain measurements method. For the test, we selected a well-known organization and subjected the employees to the test. Two types of machine learning algorithms were applied to process the measurement results. Using ICA and PCA, brain neurophysiological data were processed with Matlab's EEGLAB and BCILAB. We measured the brain using the EEG LAX-32 instrument with 11 electrodes. We also illustrate the process and results of the experiment in order to make the measurement results understandable.

Keyphrases: Digital Signal Processing (DSP), Electroencephalogram (EEG), Independent Component Analysis (ICA), MATLAB, Principal Component Analysis (PCA)

@booklet{EasyChair:13798,
  author    = {Sanjaa Bold and Banzragch Mijiddorj and Batchimeg Sosorbaram},
  title     = {Review of the Comparative Research on the Sensitivity to Anxiety of the Y and Z Generations Based on Brain Neurophysiology Data},
  howpublished = {EasyChair Preprint 13798},
  year      = {EasyChair, 2024}}