Evidence map›Paper›PMID 31579026›Full record

ArticleJMIR mHealth and uHealth2019

Heart Rate Measures From Wrist-Worn Activity Trackers in a Laboratory and Free-Living Setting: Validation Study.

Andre Matthias Müller, Nan Xin Wang, Jiali Yao, Chuen Seng Tan, Ivan Cherh Chiet Low, Nicole Lim, Jeremy Tan, Agnes Tan, Falk Müller-Riemenschneider

Abstract read
In one paragraph

Article in JMIR mHealth and uHealth, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
23citing papers in PubMed, 1 pooled it
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

23 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Guideline
  2. Trial
  3. Trial
  4. Article
  5. Association of Novel Oral Appliance Use With Heart Rate Variability in Adolescent Athletes.Medical science monitor : international medical journal of experimental and clinical research · 2026
    Article
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  9. Article
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  11. Review
  12. Article
  13. Article
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  15. Article
  16. Wearable activity trackers-advanced technology or advanced marketing?European journal of applied physiology · 2022
    Review
  17. Article
  18. Article
  19. Article
  20. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

9 authors.

Andre Matthias MüllerHealth Systems & Behavioral Sciences, Saw Swee Hock School of Public Health, National University of Singapore and National University Health System, Singapore, Singapore.ORCID 0000-0001-5770-6723
Nan Xin WangHealth Systems & Behavioral Sciences, Saw Swee Hock School of Public Health, National University of Singapore and National University Health System, Singapore, Singapore.ORCID 0000-0003-1744-5930
Jiali YaoSaw Swee Hock School of Public Health, National University of Singapore and National University Health System, Singapore, Singapore.ORCID 0000-0001-7269-4679
Chuen Seng TanSaw Swee Hock School of Public Health, National University of Singapore and National University Health System, Singapore, Singapore.ORCID 0000-0002-6513-2309
Ivan Cherh Chiet LowDepartment of Physiology, Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore.ORCID 0000-0003-2735-395X
Nicole LimHealth Promotion Board Singapore, Singapore, Singapore.ORCID 0000-0003-1116-4249
Jeremy TanHealth Promotion Board Singapore, Singapore, Singapore.ORCID 0000-0002-1543-9441
Agnes TanHealth Promotion Board Singapore, Singapore, Singapore.ORCID 0000-0002-3139-1353
Falk Müller-RiemenschneiderHealth Systems & Behavioral Sciences, Saw Swee Hock School of Public Health, National University of Singapore and National University Health System, Singapore, Singapore.ORCID 0000-0003-1402-7477

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundWrist-worn activity trackers are popular, and an increasing number of these devices are equipped with heart rate (HR) measurement capabilities. However, the validity of HR data obtained from such trackers has not been thoroughly assessed outside the laboratory setting.

objectiveThis study aimed to investigate the validity of HR measures of a high-cost consumer-based tracker (Polar A370) and a low-cost tracker (Tempo HR) in the laboratory and free-living settings.

methodsParticipants underwent a laboratory-based cycling protocol while wearing the two trackers and the chest-strapped Polar H10, which acted as criterion. Participants also wore the devices throughout the waking hours of the following day during which they were required to conduct at least one 10-min bout of moderate-to-vigorous physical activity (MVPA) to ensure variability in the HR signal. We extracted 10-second values from all devices and time-matched HR data from the trackers with those from the Polar H10. We calculated intraclass correlation coefficients (ICCs), mean absolute errors, and mean absolute percentage errors (MAPEs) between the criterion and the trackers. We constructed decile plots that compared HR data from Tempo HR and Polar A370 with criterion measures across intensity deciles. We investigated how many HR data points within the MVPA zone (≥64% of maximum HR) were detected by the trackers.

resultsOf the 57 people screened, 55 joined the study (mean age 30.5 [SD 9.8] years). Tempo HR showed moderate agreement and large errors (laboratory: ICC 0.51 and MAPE 13.00%; free-living: ICC 0.71 and MAPE 10.20%). Polar A370 showed moderate-to-strong agreement and small errors (laboratory: ICC 0.73 and MAPE 6.40%; free-living: ICC 0.83 and MAPE 7.10%). Decile plots indicated increasing differences between Tempo HR and the criterion as HRs increased. Such trend was less pronounced when considering the Polar A370 HR data. Tempo HR identified 62.13% (1872/3013) and 54.27% (5717/10,535) of all MVPA time points in the laboratory phase and free-living phase, respectively. Polar A370 detected 81.09% (2273/2803) and 83.55% (9323/11,158) of all MVPA time points in the laboratory phase and free-living phase, respectively.

conclusionsHR data from the examined wrist-worn trackers were reasonably accurate in both the settings, with the Polar A370 showing stronger agreement with the Polar H10 and smaller errors. Inaccuracies increased with increasing HRs; this was pronounced for Tempo HR.

Indexed as

AccelerometryAdultExerciseFemaleFitness TrackersHeart RateHeart Rate DeterminationHumansMaleMiddle AgedReproducibility of ResultsSingaporeValidation Studies as TopiceHealthexercisefitnessmeasurementmHealthpublic healthquantified selfwearable

Identifiers

PMID31579026
PMCPMC6777285

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.