The DOI matches its Crossref record; 2 of the 2 references it cites were found in a registry or an index.
Comparison of the Polar S810i monitor and the ECG for the analysis of heart rate variability in the time and frequency domains
Open accessAbstract
The aim of the present study was to compare heart rate variability (HRV) at rest and during exercise using a temporal series obtained with the Polar S810i monitor and a signal from a LYNX(R) signal conditioner (BIO EMG 1000 model) with a channel configured for the acquisition of ECG signals. Fifteen healthy subjects aged 20.9 +/- 1.4 years were analyzed. The subjects remained at rest for 20 min and performed exercise for another 20 min with the workload selected to achieve 60% of submaximal heart rate. RR series were obtained for each individual with a Polar S810i instrument and with an ECG analyzed with a biological signal conditioner. The HRV indices (rMSSD, pNN50, LFnu, HFnu, and LF/HF) were calculated after signal processing and analysis. The unpaired Student t-test and intraclass correlation coefficient were used for data analysis. No statistically significant differences were observed when comparing the values analyzed by means of the two devices for HRV at rest and during exercise. The intraclass correlation coefficient demonstrated satisfactory correlation between the values obtained by the devices at rest (pNN50 = 0.994; rMSSD = 0.995; LFnu = 0.978; HFnu = 0.978; LF/HF = 0.982) and during exercise (pNN50 = 0.869; rMSSD = 0.929; LFnu = 0.973; HFnu = 0.973; LF/HF = 0.942). The calculation of HRV values by means of temporal series obtained from the Polar S810i instrument appears to be as reliable as those obtained by processing the ECG signal captured with a signal conditioner.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
Heart rate variability: Standards of measurement, physiological interpretation, and clinical use
Malik, M., Bigger, J. T., Camm, A. J., Kleiger, R. E., Malliani, A., Moss, A. J., & Schwartz, P. J. (1996) · European Heart Journal · doi:10.1093/oxfordjournals.eurheartj.a014868 · Cited by 15,289
Stauss, H. M. (2003) · American Journal of Physiology-Regulatory, Integrative and Comparative Physiology · doi:10.1152/ajpregu.00452.2003 · Cited by 318
Cited by
Heart rate variability: are you using it properly? Standardisation checklist of procedures
Catai, A. M., Pastre, C. M., Godoy, M. F. D., Silva, E. D., Takahashi, A. C. D. M., & Vanderlei, L. C. M. (2020) · Brazilian Journal of Physical Therapy · doi:10.1016/j.bjpt.2019.02.006 · Cited by 423
Self-citationValidity of the Polar V800 heart rate monitor to measure RR intervals at rest
Giles, D., Draper, N., & Neil, W. (2016) · European Journal of Applied Physiology · doi:10.1007/s00421-015-3303-9 · Cited by 373
The role of heart rate variability in sports physiology
DONG, J.-G. (2016) · Experimental and Therapeutic Medicine · doi:10.3892/etm.2016.3104 · Cited by 319
Weippert, M., Kumar, M., Kreuzfeld, S., Arndt, D., Rieger, A., & Stoll, R. (2010) · European Journal of Applied Physiology · doi:10.1007/s00421-010-1415-9 · Cited by 300
Can Wearable Devices Accurately Measure Heart Rate Variability? A Systematic Review
Georgiou, K., Larentzakis, A. V., Khamis, N. N., Alsuhaibani, G. I., Alaska, Y. A., & Giallafos, E. J. (2018) · Folia Medica · doi:10.2478/folmed-2018-0012 · Cited by 244
Metadata
- Authors
- Vanderlei, L. C. M., Silva, R. A., Pastre, C. M., Azevedo, F. M., & Godoy, M. F.
- Venue
- Brazilian Journal of Medical and Biological Research
- Publisher
- FapUNIFESP (SciELO)
- Published
- 2008-09-30
- Volume
- 41
- Issue
- 10
- Pages
- 854-859
- ISSN
- 0100-879X (ISSN-L)
- 1414-431X
- OpenAlex
- W2117887112
- Cited by
- 296
- References
- 2
- FWCI
- 8.36
- Type
- journal article
- Language
- en
- Open access
- gold
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
How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: Comparison of the Polar S810i monitor and the ECG for the analysis of heart rate variability in the time and frequency domains. https://app.cochat.ai/papers/10.1590/s0100-879x2008005000039
- The paper
- Vanderlei, L. C. M., Silva, R. A., Pastre, C. M., Azevedo, F. M., & Godoy, M. F. (2008). Comparison of the Polar S810i monitor and the ECG for the analysis of heart rate variability in the time and frequency domains. Brazilian Journal of Medical and Biological Research. https://doi.org/10.1590/s0100-879x2008005000039
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.