2022
DOI: 10.3389/fcvm.2022.958212
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Smartwatch-Based Blood Pressure Measurement Demonstrates Insufficient Accuracy

Abstract: BackgroundNovel smartwatch-based cuffless blood pressure (BP) measuring devices are coming to market and receive FDA and CE labels. These devices are often insufficiently validated for clinical use. This study aims to investigate a recently CE-cleared smartwatch using cuffless BP measurement in a population with normotensive and hypertensive individuals scheduled for 24-h BP measurement.MethodsPatients that were scheduled for 24-h ambulatory blood pressure monitoring (ABPM) were recruited and received an addit… Show more

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Cited by 27 publications
(20 citation statements)
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References 31 publications
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“…21 In a third study by Falter et al in 40 adults, the cuff-calibrated Samsung device showed a systematic bias toward the cuff BP at calibration and could not accurately measure SBP and DBP when compared with 24-hour ambulatory cuff BP monitoring (SBP/DBP errors of 15.6/12.6 mm Hg, which are computed here from the reported values to be comparable to errors in Figure 2). 22 On the other hand, the Aurora Project findings are in stark contrast to 2 other recent studies with manufacturer involvement. One of these studies reported that the cuff-calibrated Biobeat device could almost perfectly predict average daytime and average nighttime ambulatory cuff SBP and DBP in 28 adults (correlation coefficients of 0.97-0.99).…”
Section: The Aurora Project In Relation To Theory and Other Studiesmentioning
confidence: 57%
See 1 more Smart Citation
“…21 In a third study by Falter et al in 40 adults, the cuff-calibrated Samsung device showed a systematic bias toward the cuff BP at calibration and could not accurately measure SBP and DBP when compared with 24-hour ambulatory cuff BP monitoring (SBP/DBP errors of 15.6/12.6 mm Hg, which are computed here from the reported values to be comparable to errors in Figure 2). 22 On the other hand, the Aurora Project findings are in stark contrast to 2 other recent studies with manufacturer involvement. One of these studies reported that the cuff-calibrated Biobeat device could almost perfectly predict average daytime and average nighttime ambulatory cuff SBP and DBP in 28 adults (correlation coefficients of 0.97-0.99).…”
Section: The Aurora Project In Relation To Theory and Other Studiesmentioning
confidence: 57%
“…21 In a third study by Falter et al in 40 adults, the cuff-calibrated Samsung device showed a systematic bias toward the cuff BP at calibration and could not accurately measure SBP and DBP when compared with 24-hour ambulatory cuff BP monitoring (SBP/DBP errors of 15.6/12.6 mm Hg, which are computed here from the reported values to be comparable to errors in Figure 2). 22…”
Section: The Aurora Project In Relation To Theory and Other Studiesmentioning
confidence: 99%
“…The LiveOne Band, which uses pressure sensors and machine learning to measure BP, also met validation criteria standards and was highly correlated with criterion measurements [46]. In contrast, the Samsung Galaxy Watch Active 2, which uses PPG to estimate BP, was found to be inaccurate [47]. Although findings from limited existing studies suggest the potential utility of wrist-worn devices for tracking BP [44][45][46][47], more evidence is needed to support their accuracy and use in intervention research.…”
Section: Blood Pressurementioning
confidence: 95%
“…In contrast, the Samsung Galaxy Watch Active 2, which uses PPG to estimate BP, was found to be inaccurate [47]. Although findings from limited existing studies suggest the potential utility of wrist-worn devices for tracking BP [44][45][46][47], more evidence is needed to support their accuracy and use in intervention research.…”
Section: Blood Pressurementioning
confidence: 96%
“…A pragmatic and clinically meaningful approach which has been used in several studies for testing the accuracy of automated wearable intermittent cuffless devices is the evaluation versus simultaneous 24-h ABPM using validated oscillometric upper arm cuff devices [22][23][24][25][26][27]. This approach is important especially for individual-user calibrated devices to assess whether they can track awake/asleep BP changes (which is a highly relevant test for clinical practice); are robust to different device and body positions; and are effective during different daily activities.…”
Section: Clinical Field Studies Of Automated Wearable Intermittent De...mentioning
confidence: 99%