Real-Time Estimation of Aerobic Threshold and Exercise Intensity Distribution Using Fractal Correlation Properties of Heart Rate Variability: A Single-Case Field Application in a Former Olympic Triathlete

Thomas Gronwald*, Sander Berk, Marco Altini, Laurent Mourot, Olaf Hoos, Bruce Rogers

*Corresponding author for this work

Research output: Contribution to JournalArticleAcademicpeer-review

Abstract

A non-linear heart rate variability (HRV) index based on fractal correlation properties called alpha1 of Detrended Fluctuation Analysis (DFA-alpha1), has been shown to change with endurance exercise intensity. Its unique advantage is that it provides information about current absolute exercise intensity without prior lactate or gas exchange testing. Therefore, real-time assessment of this metric during field conditions using a wearable monitoring device could directly provide a valuable exercise intensity distribution without prior laboratory testing for different applied field settings in endurance sports. Until of late no mobile based product could display DFA-alpha1 in real-time using off the shelf consumer products. Recently an app designed for iOS and Android devices, HRV Logger, was updated to assess DFA-alpha1 in real-time. This brief research report illustrates the potential merits of real-time monitoring of this metric for the purposes of aerobic threshold (AT) estimation and exercise intensity demarcation between low (zone 1) and moderate (zone 2) in a former Olympic triathlete. In a single-case feasibility study, three practically relevant scenarios were successfully evaluated in cycling, (1) estimation of a HRV threshold (HRVT) as an adequate proxy for AT using Kubios HRV software via a typical cycling stage test, (2) estimation of the HRVT during real-time monitoring using a cycling 6 min stage test, (3) a simulated 1 h training ride with enforcement of low intensity boundaries and real-time HRVT confirmation. This single-case field evaluation illustrates the potential of an easy-to-use and low cost real-time estimation of the aerobic threshold and exercise intensity distribution using fractal correlation properties of HRV. Furthermore, this approach may enhance the translation of science into endurance sports practice for future real-world settings.

Original languageEnglish
Article number668812
Pages (from-to)1-10
Number of pages10
JournalFrontiers in Sports and Active Living
Volume3
DOIs
Publication statusPublished - 28 May 2021

Bibliographical note

Funding Information:
We thank the British Journal of Sports Medicine (BJSM) blog for sharing our short pilot contribution ?From laboratory to roadside: Real-time assessment and monitoring of the aerobic threshold in endurance-typed sports? in which we could provide first examples and recommendations with the community: https://blogs.bmj.com/bjsm/2021/02/13/from-laboratory-to-roadside-real-time-assessment-and-monitoring-of-the-aerobic-threshold-in-endurance-typed-sports.

Publisher Copyright:
Copyright © 2021 Gronwald, Berk, Altini, Mourot, Hoos and Rogers.

Funding

We thank the British Journal of Sports Medicine (BJSM) blog for sharing our short pilot contribution ?From laboratory to roadside: Real-time assessment and monitoring of the aerobic threshold in endurance-typed sports? in which we could provide first examples and recommendations with the community: https://blogs.bmj.com/bjsm/2021/02/13/from-laboratory-to-roadside-real-time-assessment-and-monitoring-of-the-aerobic-threshold-in-endurance-typed-sports.

Keywords

  • autonomic nervous system
  • endurance exercise
  • endurance training
  • HRV
  • polarized training

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