Key result
Novel Deceleration Input metric identifies supine heart rate asymmetry in ~60% of healthy males.
Why the study?
Does the Deceleration Input index improve the measurement of heart rate asymmetry compared to conventional metrics in healthy males undergoing head-up tilt?
Observational (n=151)
Does the Deceleration Input index improve the measurement of heart rate asymmetry compared to conventional metrics in healthy males undergoing head-up tilt?
The novel Deceleration Input index provides a robust measure of heart rate asymmetry and demonstrates superior resistance to signal outliers compared to conventional metrics.
DI complements conventional HRA indices in healthy males; extends metrics but leaves open clinical utility.
This paper is focused on the Heart Rate Asymmetry (HRA) issue – a still insufficiently understood feature of Heart Rate Variability (HRV). We compared the conventional methods of HRA metrics (Porta Index, Guzik Index, Ehlers Index and Slope Index) and introduced a new direct measure of HRA: the Deceleration Input (DI) into the transitions between heart rate accelerations and decelerations. The study conducted on 151 healthy males undergoing head-up tilt allowed deepened cognition of HRA, HRV and relations in between them. 60.3% of the studied heart rate signals were asymmetric in supine (assessed by DI). Moreover, different types of time irreversibility in human heart rate was observed by analyzing the distance between consecutive points on Poincaré plot. Non-linear relations between time- and frequency domain HRV metrics have been measured. The correlation between asymmetry indices gives deeper insight into this phenomenon and indicates that the nature of the HRA is observable not only in the global count of heart rate accelerations and decelerations, but also in the specific dynamics of transitions between them. The DI index outperforms most of other HRA metrics in resistance to the outliers in signal.
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Pawłowski et al. (2026) conducted an observational in Healthy (n=151). Deceleration Input (DI) metric vs. Conventional HRA metrics was evaluated on Heart rate asymmetry in the supine position. The novel Deceleration Input (DI) metric identified heart rate asymmetry in 60.3% of signals from healthy males in the supine position, outperforming other metrics in resistance to signal outliers.
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