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Physical Activity, Health and Exercise

Validity of Wrist-Worn photoplethysmography devices to measure heart rate: A systematic review and meta-analysis

, , ORCID Icon, ORCID Icon, &
Pages 2021-2034 | Accepted 04 May 2020, Published online: 19 Jun 2020
 

ABSTRACT

Heart rate (HR), when combined with accelerometry, can dramatically improve estimates of energy expenditure and sleep. Advancements in technology, via the development and introduction of small, low-cost photoplethysmography devices embedded within wrist-worn consumer wearables, have made the collection of heart rate (HR) under free-living conditions more feasible. This systematic review and meta-analysis compared the validity of wrist-worn HR estimates to a criterion measure of HR (electrocardiography ECG or chest strap). Searches of PubMed/Medline, Web of Science, EBSCOhost, PsycINFO, and EMBASE resulted in a total of 44 articles representing 738 effect sizes across 15 different brands. Multi-level random effects meta-analyses resulted in a small mean difference (beats per min, bpm) of −0.40 bpm (95 confidence interval (CI) −1.64 to 0.83) during sleep, −0.01 bpm (−0.02 to 0.00) during rest, −0.51 bpm (−1.60 to 0.58) during treadmill activities (walking to running), while the mean difference was larger during resistance training (−7.26 bpm, −10.46 to −4.07) and cycling (−4.55 bpm, −7.24 to −1.87). Mean difference increased by 3 bpm (2.5 to 3.5) per 10 bpm increase of HR for resistance training. Wrist-worn devices that measure HR demonstrate acceptable validity compared to a criterion measure of HR for most common activities.

Disclosure statement

No potential conflict of interest was reported by the authors.

Supplementary material

Supplemental data for this article can be accessed here.

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