Influence of Artefact Correction and Recording Device Type on the Practical Application of a Non-Linear Heart Rate Variability Biomarker for Aerobic Threshold Determination
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Recent study points to the value of a non-linear heart rate variability (HRV) biomarker using detrended fluctuation analysis (DFA a1) for aerobic threshold determination (HRVT). Significance of recording artefact, correction methods and device bias on DFA a1 during exercise and HRVT is unclear. Gas exchange and HRV data were obtained from 17 participants during an incremental treadmill run using both ECG and Polar H7 as recording devices. First, artefacts were randomly placed in the ECG time series to equal 1, 3 and 6% missed beats with correction by Kubios software’s automatic and medium threshold method. Based on linear regression, Bland Altman analysis and Wilcoxon paired testing, there was bias present with increasing artefact quantity. Regardless of artefact correction method, 1 to 3% missed beat artefact introduced small but discernible bias in raw DFA a1 measurements. At 6% artefact using medium correction, proportional bias was found (maximum 19%). Despite this bias, the mean HRVT determination was within 1 bpm across all artefact levels and correction modalities. Second, the HRVT ascertained from synchronous ECG vs. Polar H7 recordings did show an average bias of minus 4 bpm. Polar H7 results suggest that device related bias is possible but in the reverse direction as artefact related bias.
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Artifact correction can lead to variable results in terms of DFA a1 bias during incremental tests.
“In terms of DFA a1 bias during the incremental tests, artifact correction can lead to variable results [24].”
From Validity of the Polar H10 Sensor for Heart Rate Variability Analysis during Resting State and Incremental Exercise in Recreational Men and Women (2022) · cites this paper as [24]
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- Authors
- Rogers, B., Giles, D., Draper, N., Mourot, L., & Gronwald, T.
- Affiliations
- University of Central Florida (US)
- Lattice Training Ltd., Chesterfield S41 9AT, UK
- University of Canterbury (NZ)
- Tomsk Polytechnic University (RU)
- MSH Medical School Hamburg – University of Applied Sciences and Medical University (DE)
- Corresponding author
- Rogers, Bruce
- Venue
- Sensors
- Publisher
- MDPI AG
- Published
- 2021-01-26
- Volume
- 21
- Issue
- 3
- Pages
- 821
- ISSN
- 1424-8220 (ISSN-L)
- PMC
- PMC7865269
- OpenAlex
- W3124184716
- Cited by
- 54
- References
- 44
- Citations by year
- 2026: 6 · 2025: 10 · 2024: 13 · 2023: 12 · 2022: 8 · 2021: 5
- FWCI
- 6.37
- Type
- journal article
- Language
- en
- Open access
- gold
- doi.org
- Licence
- Locations
- Sensors (publishedVersion, cc-by)
- Europe PMC (PubMed Central) (publishedVersion, other-oa)
- PubMed Central (publishedVersion, cc-by)
- PubMed (publishedVersion)
- DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion, cc-by-sa)
- University of Canterbury Research Repository (University of Canterbury) (submittedVersion, cc-by)
- Topics
- Health Sciences › Medicine › Cardiology and Cardiovascular Medicine › Heart Rate Variability and Autonomic Control
- Health Sciences › Medicine › Complementary and alternative medicine › Cardiovascular and exercise physiology
- Physical Sciences › Engineering › Biomedical Engineering › Non-Invasive Vital Sign Monitoring
- Keywords
- heart rate variability, aerobic threshold, detrended fluctuation analysis, artifact removal, ECG, gas exchange
- MeSH terms
- Electrocardiography, Exercise Test, Heart Rate, Humans, Biomarkers, Artifacts
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