ECG and GSR signal processing and data analysis
Aim of this project was to detect and analyzing emotional reactions to stressful and calm scenarios in virtual reality games.
ECG and GSR signals were recorded during gameplay, then processed
and analyzed using Python. HRV parameters were extracted from ECG
signals, using pyHRV library.
Statistical analysis (Mann-Whitney U test) showed unambiguous difference
in reactions.
ECG signal - filtered, RR peaks detected:
Boxplot - HRV parameters for three emotional states: no visual stimuli, stresseful and calm scenario (test subject ID = 1):
