The DOI matches its Crossref record; 34 of the 34 references it cites were found in a registry or an index.
Validity of the Polar V800 heart rate monitor to measure RR intervals at rest
Open accessAbstract
PURPOSE: To assess the validity of RR intervals and short-term heart rate variability (HRV) data obtained from the Polar V800 heart rate monitor, in comparison to an electrocardiograph (ECG). METHOD: Twenty participants completed an active orthostatic test using the V800 and ECG. An improved method for the identification and correction of RR intervals was employed prior to HRV analysis. Agreement of the data was assessed using intra-class correlation coefficients (ICC), Bland-Altman limits of agreement (LoA), and effect size (ES). RESULTS: A small number of errors were detected between ECG and Polar RR signal, with a combined error rate of 0.086 %. The RR intervals from ECG to V800 were significantly different, but with small ES for both supine corrected and standing corrected data (ES <0.001). The bias (LoA) were 0.06 (-4.33 to 4.45 ms) and 0.59 (-1.70 to 2.87 ms) for supine and standing intervals, respectively. The ICC was >0.999 for both supine and standing corrected intervals. When analysed with the same HRV software no significant differences were observed in any HRV parameters, for either supine or standing; the data displayed small bias and tight LoA, strong ICC (>0.99) and small ES (≤0.029). CONCLUSIONS: The V800 improves over previous Polar models, with narrower LoA, stronger ICC and smaller ES for both the RR intervals and HRV parameters. The findings support the validity of the Polar V800 and its ability to produce RR interval recordings consistent with an ECG. In addition, HRV parameters derived from these recordings are also highly comparable.
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Cites
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Heart rate variability: A review
Rajendra Acharya, U., Paul Joseph, K., Kannathal, N., Lim, C. M., & Suri, J. S. (2006) · Medical & Biological Engineering & Computing · doi:10.1007/s11517-006-0119-0 · Cited by 2,820
Kubios HRV–heart rate variability analysis software.
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“…be cautious about making comparisons between HRV parameters derived from different software packages, particularly when software packages such as Kubios HRV are freely available that support data exported directly from a large number of ECGs, as well as RR interval data (Tarvainen et al. 2014).”
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Cited by
Goldsack, J. C., Coravos, A., Bakker, J. P., Bent, B., Dowling, A. V., Fitzer-Attas, C., Godfrey, A., Godino, J. G., Gujar, N., Izmailova, E., et al. (2020) · npj Digital Medicine · doi:10.1038/s41746-020-0260-4 · Cited by 557
Henriksen, A., Haugen Mikalsen, M., Woldaregay, A. Z., Muzny, M., Hartvigsen, G., Hopstock, L. A., & Grimsgaard, S. (2018) · Journal of Medical Internet Research · doi:10.2196/jmir.9157 · Cited by 542
RR interval signal quality of a heart rate monitor and an ECG Holter at rest and during exercise
Gilgen-Ammann, R., Schweizer, T., & Wyss, T. (2019) · European Journal of Applied Physiology · doi:10.1007/s00421-019-04142-5 · Cited by 438
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
Schuurmans, A. A. T., de Looff, P., Nijhof, K. S., Rosada, C., Scholte, R. H. J., Popma, A., & Otten, R. (2020) · Journal of Medical Systems · doi:10.1007/s10916-020-01648-w · Cited by 210
Metadata
- Authors
- Giles, D., Draper, N., & Neil, W.
- Venue
- European Journal of Applied Physiology
- Published
- 2015-12-26
- Volume
- 116
- Issue
- 3
- Pages
- 563-571
- ISSN
- 0020-9376 (ISSN-L)
- 1439-6319
- 1439-6327
- OpenAlex
- W2210949426
- Cited by
- 373
- References
- 34
- FWCI
- 15.17
- Type
- journal article
- Language
- en
- Open access
- hybrid
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