Heart rate variability can be accurately calculated from heart rate alone
Heart rate variability cannot be accurately calculated from heart rate alone because HRV fundamentally measures the variability and timing differences between consecutive heartbeats rather than a static heart rate value.
The retrieved literature consistently defines heart rate variability as the variation in time intervals between consecutive heartbeats (interbeat intervals), making it distinct from a simple average heart rate. Studies explicitly attempting to derive HRV metrics from heart rate time series note accuracy limitations and methodological challenges. Thus, the claim is refuted by the foundational definitions and measurement standards of HRV.
Fred Shaffer, J. P. Ginsberg. An Overview of Heart Rate Variability Metrics and Norms. 2017. https://doi.org/10.3389/fpubh.2017.00258
This paper defines heart rate variability as consisting of changes in interbeat intervals, requiring time-series data rather than a single heart rate value.
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Kiyoko Yokoyama, Emi Hayashi, Hisatoshi Ito, Yuko Kawahara. Estimation of heart rate variability from heart rate measured with wristwatch‐type heart rate monitor. 2022. https://doi.org/10.1002/ecj.12351
This study demonstrates that estimating frequency-domain HRV parameters directly from heart rate time series yields limited accuracy and requires specialized modeling and interpolation.
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