Mental Stress Analysis using P-300 Electroencephalogram and its Statistical Significance

Authors

  • Parag Puranik, Dr. Sunil Kumar Gupta, Dr. Ashish Panat

Abstract

Recognition and analysis of mental stress has been getting excessive consideration from the researchers. Studies have examined electroencephalogram and P300 signals to estimate mental stress. The aim of the proposed study is to analyze the stress subjects so that further necessary medical help can be provided. 93 subjects are selected for stress analysis using EEG and P300. P300 wave is the 300th msec wave which is generated by an auditory stimulus provided to each subject during continuous EEG recording.  When the subject hears the auditory stimulus, the subject raises the first finger and subject is asked to note the target on the screen. The target is red square on the screen. The response identified by the subject to the stimulus applied is P300 wave. EEG recording was carried with 32 channel electrode RMS machine and with 1000 Hz sampling rate. Two datasets are generated for all the subjects i.e. target and non-target. Target means identifying the red square to the proper stimuli and nontarget means target is missed even after identifying the stimulus. Statistical analysis provides the mean values of target and non-target. This will estimate and classify the correct level of stress in subjects.

Published

2021-09-11

How to Cite

Parag Puranik, Dr. Sunil Kumar Gupta, Dr. Ashish Panat. (2021). Mental Stress Analysis using P-300 Electroencephalogram and its Statistical Significance. Drugs and Cell Therapies in Hematology, 10(3), 01–12. Retrieved from https://www.dcth.org/index.php/journal/article/view/359

Issue

Section

Articles