Evidence map›Paper›PMID 41602947›Full record

ArticleDigital health

Long-term accuracy and stability of blood pressure measurements from a smartwatch: Prospective validation study.

Simon Walzel, Hana Sebestova, Veronika Rafl-Huttova, Martin Rozanek, Jakub Rafl

Registry-linked trialAbstract read
In one paragraph

Article in Digital health. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT06098092 (Experimental Validation of the Long-term Accuracy of Blood Pressure Measurement Using a Smartwatch), which is not on this map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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.

NCT06098092 nacompletednot on this map

Experimental Validation of the Long-term Accuracy of Blood Pressure Measurement Using a Smartwatch

TypeinterventionalSponsorCzech Technical University in PragueRan2023 to 2025Enrolled42ConditionsHypertension, Blood PressureArmsLong-term non-invasive Blood pressure monitoring
3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. 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

5 authors.

Simon WalzelDepartment of Biomedical Technology, Faculty of Biomedical Engineering, Czech Technical University in Prague, Kladno, Czech Republic.ORCID https://orcid.org/0000-0003-1309-9567
Hana SebestovaDepartment of Biomedical Technology, Faculty of Biomedical Engineering, Czech Technical University in Prague, Kladno, Czech Republic.
Veronika Rafl-HuttovaDepartment of Biomedical Technology, Faculty of Biomedical Engineering, Czech Technical University in Prague, Kladno, Czech Republic.ORCID https://orcid.org/0000-0001-7370-5667
Martin RozanekDepartment of Biomedical Technology, Faculty of Biomedical Engineering, Czech Technical University in Prague, Kladno, Czech Republic.
Jakub RaflDepartment of Biomedical Technology, Faculty of Biomedical Engineering, Czech Technical University in Prague, Kladno, Czech Republic.ORCID https://orcid.org/0000-0001-5102-9354

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Regular monitoring of blood pressure (BP) provides early detection of hypertension. Automated cuff-based oscillometric devices are commonly used for simplicity and reduced observer subjectivity. However, these devices can be uncomfortable, prompting the development of non-invasive, cuffless BP monitoring in smartwatches. Current validation standards, including ISO 81060-2:2018 and IEEE 1708TM-2019, specify accuracy criteria, yet most studies focus on short-term performance and do not address their long-term stability across the calibration period. Objective: This prospective single-arm study aimed to assess the long-term accuracy and stability of BP measurements obtained from a smartwatch throughout its recommended calibration interval. Methods: Thirty-seven participants completed a 28-day protocol, consisting of an initial calibration on day 0 followed by 27 consecutive days of paired measurements of systolic BP (SBP) and diastolic BP (DBP). BP was simultaneously measured using a Samsung Galaxy Watch 5 and a validated reference sphygmomanometer Omron M4. Accuracy was assessed against ISO and IEEE standards, and the recalibration test consistent with European Society of Hypertension (ESH) guidelines was performed using the last three measurements before scheduled recalibration. Results: The smartwatch met the accuracy criteria based on ISO and IEEE standards in all but one measure, with mean absolute differences, mean differences (MD), and standard deviations for SBP and DBP within acceptable limits. Bland-Altman analysis revealed negligible MD for SBP (-0.34 mmHg) and DBP (0.62 mmHg), with minimal drift over the calibration period (-0.19 mmHg for SBP and 1.02 mmHg for DBP). However, when reference BP was 10 mmHg away from the calibration point, MD was 3.4 mmHg for SBP and 5.1 mmHg for DBP. Conclusions: The smartwatch demonstrated acceptable long-term stability and accuracy for BP monitoring and trend tracking. However, accuracy declined as values diverged from the calibration point. Cuff-based confirmation is advised when BP fluctuates substantially or when diagnostic or therapeutic decisions are planned. Trial Registration: ClinicalTrials.gov NCT06098092.

Indexed as

blood pressurehypertensionlong-term stabilitySmartwatchwearables

Identifiers

PMID41602947
PMCPMC12833194

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Registered trials

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.