Stress Analysis Based on Simultaneous Heart Rate Variability and EEG Monitoring

Area of Science:

• Neuroscience
• Cardiology
• Psychophysiology

Background:

• Stress is a major risk factor for numerous diseases and psychological disorders.
• Heart rate variability (HRV) and electroencephalogram (EEG) offer insights into physiological and neural responses to stress.
• EEG and HRV provide complementary data for a comprehensive stress assessment.

Purpose of the Study:

• To investigate the correlation between EEG and HRV features under stress.
• To enhance the understanding and analysis of stress responses.
• To explore the utility of combined EEG-HRV analysis for stress management.

Main Methods:

• Simultaneous ECG and EEG recordings from 15 subjects.
• Analysis of HRV and EEG features during rest, stress, and meditation.
• Statistical analysis using ANOVA and correlation coefficients.

Main Results:

• Identified significant correlations between specific HRV features (LF, HF, LF/HF, rMSSD) and EEG features (alpha power band, alpha band power asymmetry).
• Demonstrated five significant relationships between EEG and HRV features associated with stress.

Conclusions:

• Combined EEG and HRV features show promise for improved stress detection.
• This approach can aid in monitoring the effectiveness of stress treatments and therapies.
• Findings can enhance stress management technologies like biofeedback and meditation.