Cited by 122Heart Rate Variability and Autonomic ControlNon-Invasive Vital Sign MonitoringCardiovascular and exercise physiology

Validity and Reliability of Different Smartphones Applications to Measure HRV during Short and Ultra-Short Measurements in Elite Athletes

Open access
Moya-Ramon, M., Mateo-March, M, Peña-González, I., Zabala, M., Javaloyes, A.·2022·Computer Methods and Programs in Biomedicine

Abstract

BACKGROUND AND OBJECTIVE: Heart rate variability (HRV) has been proposed as a useful marker that can show the performance adaptation and optimize the training process in elite athletes. The development of wearable technology permits the measurement of this marker through smartphone applications. The purpose of this study is to assess the validity and reliability of short and ultra-short HRV measurements in elite cyclists using different smartphone applications. METHOD: Twenty-six professional cyclists were measured at rest in supine and in seated positions through the simultaneous use of an electrocardiogram and two different smartphone applications that implement different technologies to measure HRV: Elite HRV (with a chest strap) and Welltory (photoplethysmography). Level of significance was set at p < 0.05. RESULTS: Compared to an electrocardiogram, Elite HRV and Welltory showed no differences neither in supine nor in seated positions (p > 0.05) and they showed very strong to almost perfect correlation levels (r = 0.77 to 0.94). Furthermore, no differences were found between short (5 min) and ultra-short (1 min) length measurements. Intraclass correlation coefficient showed good to excellent reliability and the standard error of measurement remained lower than 6%. CONCLUSION: Both smartphone applications can be implemented to monitor HRV using short- and ultra-short length measurements in elite endurance athletes.

Integrity signals

Registry

Crossref · 10.1016/j.cmpb.2022.106696

Cites

33 of 33 references verified0 citation errors · 0 not checkable

Statistics

Recomputing p-values needs the paper’s full text.

Claims the paper makes

We couldn’t retrieve this paper’s full text, so its claims and self-check weren’t run. The registry and citation checks still apply.

Claims other papers make about this one

Each is checked against this paper’s own text: does it say what the citing paper says it does?

Cites

Flagged first, then by citations

Cited by

Sorted by citations

Authors
Moya-Ramon, M., Mateo-March, M., Peña-González, I., Zabala, M., & Javaloyes, A.
Affiliations
  • Universidad de Granada (ES)
  • Universitat de Miguel Hernández d'Elx (ES)
Venue
Computer Methods and Programs in Biomedicine
Publisher
Elsevier BV
Published
2022-04
Volume
217
Pages
106696
ISSN
0169-2607 (ISSN-L)
OpenAlex
W4210903088
Cited by
122
References
33
Citations by year
2026: 30 · 2025: 25 · 2024: 31 · 2023: 28 · 2022: 8
FWCI
16.12
Type
journal article
Language
en
Open access
Locations
  • Computer Methods and Programs in Biomedicine (publishedVersion, cc-by-nc-nd)
  • PubMed (publishedVersion)
Funders
  • Ministerio de Ciencia e Innovación
  • España Ministerio de Ciencia e Innovación (PID2019-107721RB-I00)
Topics
  • Health Sciences › Medicine › Cardiology and Cardiovascular Medicine › Heart Rate Variability and Autonomic Control
  • Physical Sciences › Engineering › Biomedical Engineering › Non-Invasive Vital Sign Monitoring
  • Health Sciences › Medicine › Complementary and alternative medicine › Cardiovascular and exercise physiology
Keywords
heart rate variability, mobile application, wearable devices, photoplethysmography, chest strap, elite cyclists, endurance athletes, measurement validity, measurement reliability, training monitoring
MeSH terms
Smartphone, Electrocardiography, Heart Rate, Humans, Reproducibility of Results, Athletes

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review