Please use this identifier to cite or link to this item: http://hdl.handle.net/1942/37991
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dc.contributor.authorFALTER, Maarten-
dc.contributor.authorPIETERS, Zoe-
dc.contributor.authorSCHERRENBERG, Martijn-
dc.contributor.authorCaiani, Enrico Gianluca-
dc.contributor.authorDRIESEN, Karen-
dc.contributor.authorXU, Linqi-
dc.contributor.authorTOSHIKI, Kaihara-
dc.contributor.authorCastiglioni, Paolo-
dc.contributor.authorFaini, Andrea-
dc.contributor.authorParati, Gianfranco-
dc.contributor.authorDENDALE, Paul-
dc.date.accessioned2022-09-07T08:19:14Z-
dc.date.available2022-09-07T08:19:14Z-
dc.date.issued2022-
dc.date.submitted2022-08-16T16:00:47Z-
dc.identifier.citationFrontiers in Cardiovascular Medicine, 9 (Art N° 958212)-
dc.identifier.urihttp://hdl.handle.net/1942/37991-
dc.description.abstractBackgroundNovel 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 additional Samsung Galaxy Watch Active 2 smartwatch for simultaneous BP measurement on their opposite arm. After calibration, patients were asked to measure as much as possible in a 24-h period. Manual activation of the smartwatch is necessary to measure the BP. Accuracy was calculated using sensitivity, specificity, positive and negative predictive values and ROC curves. Bland-Altman method and Taffe methods were used for bias and precision assessment. BP variability was calculated using average real variability, standard deviation and coefficient of variation. ResultsForty patients were included. Bland-Altman and Taffe methods demonstrated a proportional bias, in which low systolic BPs are overestimated, and high BPs are underestimated. Diastolic BPs were all overestimated, with increasing bias toward lower BPs. Sensitivity and specificity for detecting systolic and/or diastolic hypertension were 83 and 41%, respectively. ROC curves demonstrate an area under the curve (AUC) of 0.78 for systolic hypertension and of 0.93 for diastolic hypertension. BP variability was systematically higher in the ABPM measurements compared to the smartwatch measurements. ConclusionThis study demonstrates that the BP measurements by the Samsung Galaxy Watch Active 2 show a systematic bias toward a calibration point, overestimating low BPs and underestimating high BPs, when investigated in both normotensive and hypertensive patients. Standards for traditional non-invasive sphygmomanometers are not met, but these standards are not fully applicable to cuffless devices, emphasizing the urgent need for new standards for cuffless devices. The smartwatch-based BP measurement is not yet ready for clinical usage. Future studies are needed to further validate wearable devices, and also to demonstrate new possibilities of non-invasive, high-frequency BP monitoring.-
dc.description.sponsorshipPD received funding through the Horizons 2020 CoroPrevention project, project number 848056. MF received funding through the Flanders Research Foundation FWO, file number 1SE1222N. PC and AF received funding from the Italian Ministry of HealthRicerca Corrente.-
dc.language.isoen-
dc.publisherFRONTIERS MEDIA SA-
dc.rights2022 Falter, Scherrenberg, Driesen, Pieters, Kaihara, Xu, Caiani, Castiglioni, Faini, Parati and Dendale. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.-
dc.subject.otherblood pressure-
dc.subject.otherhypertension-
dc.subject.othersmartwatch-
dc.subject.otherTaffe method-
dc.subject.otherdigital health-
dc.subject.othercardiovascular disease-
dc.subject.otherambulatory blood pressure monitoring-
dc.subject.otherblood pressure variability-
dc.titleSmartwatch-Based Blood Pressure Measurement Demonstrates Insufficient Accuracy-
dc.typeJournal Contribution-
dc.identifier.volume9-
local.bibliographicCitation.jcatA1-
dc.description.notesFalter, M (corresponding author), Hasselt Univ, Fac Med & Life Sci, Hasselt, Belgium.; Falter, M (corresponding author), Jessa Hosp, Heart Ctr Hasselt, Hasselt, Belgium.; Falter, M (corresponding author), Katholieke Univ Leuven, Fac Med, Dept Cardiol, Leuven, Belgium.-
dc.description.notesmaarten.falter@jessazh.be-
local.publisher.placeAVENUE DU TRIBUNAL FEDERAL 34, LAUSANNE, CH-1015, SWITZERLAND-
local.type.refereedRefereed-
local.type.specifiedArticle-
local.bibliographicCitation.artnr958212-
local.type.programmeH2020-
local.relation.h2020848056-
dc.identifier.doi10.3389/fcvm.2022.958212-
dc.identifier.pmid35898281-
dc.identifier.isi000831161000001-
local.provider.typewosris-
local.description.affiliation[Falter, Maarten; Scherrenberg, Martijn; Driesen, Karen; Kaihara, Toshiki; Xu, Linqi; Dendale, Paul] Hasselt Univ, Fac Med & Life Sci, Hasselt, Belgium.-
local.description.affiliation[Falter, Maarten; Scherrenberg, Martijn; Kaihara, Toshiki; Xu, Linqi; Dendale, Paul] Jessa Hosp, Heart Ctr Hasselt, Hasselt, Belgium.-
local.description.affiliation[Falter, Maarten] Katholieke Univ Leuven, Fac Med, Dept Cardiol, Leuven, Belgium.-
local.description.affiliation[Scherrenberg, Martijn] Antwerp Univ, Fac Med & Hlth Sci, Antwerp, Belgium.-
local.description.affiliation[Pieters, Zoe] Hasselt Univ, Data Sci Inst, Hasselt, Belgium.-
local.description.affiliation[Kaihara, Toshiki] St Marianna Univ, Dept Internal Med, Div Cardiol, Sch Med, Kawasaki, Japan.-
local.description.affiliation[Xu, Linqi] Jilin Univ, Sch Nursing, Changchun, Peoples R China.-
local.description.affiliation[Caiani, Enrico Gianluca] Politecn Milan, Dept Elect Informat & Bioengn, Milan, Italy.-
local.description.affiliation[Caiani, Enrico Gianluca] CNR, Inst Elect Comp & Telecommun Engn, Milan, Italy.-
local.description.affiliation[Castiglioni, Paolo] IRCCS Fdn Don Carlo Gnocchi ONLUS, Milan, Italy.-
local.description.affiliation[Faini, Andrea; Parati, Gianfranco] S Luca Hosp, Ist Auxol Italiano, Dept Cardiovasc Neural & Metab Sci, IRCCS, Milan, Italy.-
local.description.affiliation[Parati, Gianfranco] Univ Milano Bicocca, Dept Med & Surg, Milan, Italy.-
local.uhasselt.internationalyes-
item.accessRightsOpen Access-
item.fullcitationFALTER, Maarten; PIETERS, Zoe; SCHERRENBERG, Martijn; Caiani, Enrico Gianluca; DRIESEN, Karen; XU, Linqi; TOSHIKI, Kaihara; Castiglioni, Paolo; Faini, Andrea; Parati, Gianfranco & DENDALE, Paul (2022) Smartwatch-Based Blood Pressure Measurement Demonstrates Insufficient Accuracy. In: Frontiers in Cardiovascular Medicine, 9 (Art N° 958212).-
item.fulltextWith Fulltext-
item.validationecoom 2023-
item.contributorFALTER, Maarten-
item.contributorPIETERS, Zoe-
item.contributorSCHERRENBERG, Martijn-
item.contributorCaiani, Enrico Gianluca-
item.contributorDRIESEN, Karen-
item.contributorXU, Linqi-
item.contributorTOSHIKI, Kaihara-
item.contributorCastiglioni, Paolo-
item.contributorFaini, Andrea-
item.contributorParati, Gianfranco-
item.contributorDENDALE, Paul-
crisitem.journal.issn2297-055X-
crisitem.journal.eissn2297-055X-
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