Validity of Wrist-Worn Photoplethysmography Devices to Measure Heart Rate: A Systematic Review and Meta-analysis
Overview
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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.
de Vries H, Delahaij R, van Zwieten M, Verhoef H, Kamphuis W JMIR Mhealth Uhealth. 2025; 13:e60708.
PMID: 39881435 PMC: 11793834. DOI: 10.2196/60708.
Javanmardi S, Rappelt L, Baumgart C, Niederer D, Heinke L, Freiwald J Front Public Health. 2025; 12():1489178.
PMID: 39839437 PMC: 11747710. DOI: 10.3389/fpubh.2024.1489178.
Multicenter Evaluation of Machine-Learning Continuous Pulse Rate Algorithm on Wrist-Worn Device.
Chen W, Cordero R, Lever Taylor J, Pangallo D, Picard R, Cruz M Digit Biomark. 2024; 8(1):218-228.
PMID: 39670276 PMC: 11637493. DOI: 10.1159/000542615.
Mun S, Park K, Kim J, Kim J, Lee S Sci Rep. 2024; 14(1):23865.
PMID: 39394437 PMC: 11470009. DOI: 10.1038/s41598-024-74619-7.
Accuracy of smartwatches for the remote assessment of exercise capacity.
Jamieson A, Jones S, Chaturvedi N, Hughes A, Orini M Sci Rep. 2024; 14(1):22994.
PMID: 39362983 PMC: 11452199. DOI: 10.1038/s41598-024-74140-x.