Evidence map›Paper›PMID 36048505›Full record

ArticleJMIR formative research2022

Measurement of Heart Rate Using the Withings ScanWatch Device During Free-living Activities: Validation Study.

Oonagh M Giggins, Julie Doyle, Suzanne Smith, Daniel R Crabtree, Matthew Fraser

Abstract read
In one paragraph

Article in JMIR formative research, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
–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

6 citing papers in PubMed.

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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

5 authors.

Oonagh M GigginsNetwellCASALA, Dundalk Institute of Technology, Dundalk, Ireland.ORCID https://orcid.org/0000-0001-7748-5446
Julie DoyleNetwellCASALA, Dundalk Institute of Technology, Dundalk, Ireland.ORCID https://orcid.org/0000-0003-4017-6329
Suzanne SmithNetwellCASALA, Dundalk Institute of Technology, Dundalk, Ireland.ORCID https://orcid.org/0000-0002-8486-7087
Daniel R CrabtreeDivision of Biomedical Sciences, University of the Highlands and Islands, Inverness, United Kingdom.ORCID https://orcid.org/0000-0003-2013-9109
Matthew FraserDivision of Biomedical Sciences, University of the Highlands and Islands, Inverness, United Kingdom.ORCID https://orcid.org/0000-0003-1560-6294

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundWrist-worn devices that incorporate photoplethysmography (PPG) sensing represent an exciting means of measuring heart rate (HR). A number of studies have evaluated the accuracy of HR measurements produced by these devices in controlled laboratory environments. However, it is also important to establish the accuracy of measurements produced by these devices outside the laboratory, in real-world, consumer use conditions.

objectiveThis study sought to examine the accuracy of HR measurements produced by the Withings ScanWatch during free-living activities.

methodsA sample of convenience of 7 participants volunteered (3 male and 4 female; mean age 64, SD 10 years; mean height 164, SD 4 cm; mean weight 77, SD 16 kg) to take part in this real-world validation study. Participants were instructed to wear the ScanWatch for a 12-hour period on their nondominant wrist as they went about their day-to-day activities. A Polar H10 heart rate sensor was used as the criterion measure of HR. Participants used a study diary to document activities undertaken during the 12-hour study period. These activities were classified according to the 11 following domains: desk work, eat or drink, exercise, gardening, household activities, self-care, shopping, sitting, sleep, travel, and walking. Validity was assessed using the Bland-Altman analysis, concordance correlation coefficient (CCC), and mean absolute percentage error (MAPE).

resultsAcross all activity domains, the ScanWatch measured HR with MAPE values <10%, except for the shopping activity domain (MAPE=10.8%). The activity domains that were more sedentary in nature (eg, desk work, eat or drink, and sitting) produced the most accurate HR measurements with a small mean bias and MAPE values <5%. Moderate to strong correlations (CCC=0.526-0.783) were observed between devices for all activity domains, except during the walking activity domain, which demonstrated a weak correlation (CCC=0.164) between devices.

conclusionsThe results of this study show that the ScanWatch measures HR with a degree of accuracy that is acceptable for general consumer use; however, it would not be suitable in circumstances where more accurate measurements of HR are required, such as in health care or in clinical trials. Overall, the ScanWatch was less accurate at measuring HR during ambulatory activities (eg, walking, gardening, and household activities) compared to more sedentary activities (eg, desk work, eat or drink, and sitting). Further larger-scale studies examining this device in different populations and during different activities are required.

Indexed as

activityfree-living activityheartheart ratephotoplethysmographyphysical activityPPGvalidation studywearable electronic devicewrist-worn device

Identifiers

PMID36048505
PMCPMC9478823

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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.