2015
DOI: 10.1007/s00421-015-3303-9
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Validity of the Polar V800 heart rate monitor to measure RR intervals at rest

Abstract: PurposeTo 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).MethodTwenty 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 e… Show more

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Cited by 309 publications
(277 citation statements)
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References 32 publications
(76 reference statements)
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“…During the race all runners wore beat-to-beat HR monitoring devices (Polar RS800CX, Polar Electro Oy, Kempele, Finland) equipped with GPS to record distance and elevation data and RR-interval time series (intervals between consecutive heart beats). HR monitors of the same series have been validated [17,31].…”
Section: Data Analysedmentioning
confidence: 99%
See 1 more Smart Citation
“…During the race all runners wore beat-to-beat HR monitoring devices (Polar RS800CX, Polar Electro Oy, Kempele, Finland) equipped with GPS to record distance and elevation data and RR-interval time series (intervals between consecutive heart beats). HR monitors of the same series have been validated [17,31].…”
Section: Data Analysedmentioning
confidence: 99%
“…Several non-linear HRV methods such as fractal scaling analysis, higher order spectra analysis, multi-scale entropy analysis, power law analysis, complexity analysis, symbolic dynamics analysis and heart rate turbulence analysis have been studied for various diseases [7][8][9][10][11][12][13][14][15]. It must be taken into account that while the collection of heart rate (HR) was initially only possible with expensive laboratory-based electrocardiograph recorders, the recent availability of specifically designed portable recorders has substantially boosted the use of HRV monitoring [16,17].…”
Section: Introductionmentioning
confidence: 99%
“…Training sessions were preceded by a standardized warm-up which included two sets of four-minute running intervals -the first at 75% of HR max and the second at 85% of HR max interspersed with two minutes of recovery time. During training sessions, all R-R intervals, which were sent from Bluetooth HR sensors (Polar H7, Finland) (Giles, Draper, & Neil, 2016) to a smartphone heart rate application (Elite HRV TM ),…”
Section: Trainingmentioning
confidence: 99%
“…Inexpensive consumer devices such as heart rate monitors and other wearable technology may have the potential to accurately detect irregular RR intervals19 20 and advancements in modern technology have enabled the implementation of relatively complex algorithms using readily available consumer devices including smartphones 1421 Systems employing wearable devices could be used for prolonged RR interval monitoring and may thus have potential for AF screening in the community.…”
Section: Introductionmentioning
confidence: 99%