Key result
Non-linear HRV metrics capture acute mental stress more consistently than time or frequency domains.
Why the study?
Prolonged mental stress can lead to serious autonomic nervous system dysfunction reflected in HRV, prompting an evaluation of the effectiveness of time, frequency, and non-linear HRV metrics.
Does simulated cognitive stress alter heart rate variability metrics compared to a stressless condition?
Meta-Analysis
Does simulated cognitive stress alter heart rate variability metrics compared to a stressless condition?
Non-linear HRV metrics provide a more robust and consistent quantification of autonomic nervous system dysfunction during cognitive stress compared to traditional time or frequency domain metrics.
Non-linear HRV metrics warrant priority for detecting autonomic changes in mental stress; confirms greater robustness than time- or frequency-domain measures.
In the modern contemporary world, our life has become a warehouse of stress, consisting more of mental stress than physical stress. It can be shown that prolonged mental stress can lead to serious dysfunctionality in the autonomous nervous system (ANS), which, in turn, is reflected in heart rate variability (HRV). In this study, we have discussed the effectiveness of different metrics obtained from the analysis of HRV signals. The HRV analyses are being conducted in majorly three domains by the research community, namely, time, frequency, and non-linear. We have compiled metrics for all the three techniques and compared their effectiveness. To assess the effect of cognitive stress, a comparative study is typically developed where two sets of HRV data are procured from the same subject, one in a completely healthy and stressless condition and the other under a simulated, controlled cognitive stress. Many of the datasets are pretty comprehensive, having a vast number of subjects and the analysis comprising up to 22 different parameters. A comparative study of these datasets revealed a significant drop in HRV during stress when analyzed in time and non-linear domains. On the other hand, a substantial increase in HRV is spotted when measured with the help of high-to-low-frequency methodology. Overall, the non-linear metrics were found to be more robust and gave more consistent results than the time or frequency domain metrics.
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Sarkar et al. (2025) conducted a meta-analysis in Cognitive stress. Cognitive stress vs. Rest condition was evaluated on Heart rate variability (HRV) metrics. Non-linear heart rate variability metrics demonstrated a significant deviation during acute mental stress and were found to be more robust and consistent than time or frequency domain metrics.
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