Blood pressure measurements with the OptiBP smartphone app validated against reference auscultatory measurements

dc.contributor.authorSchoettker, Patrick
dc.contributor.authorDegott, Jean
dc.contributor.authorHofmann, Gregory
dc.contributor.authorProença, Martin
dc.contributor.authorBonnier, Guillaume
dc.contributor.authorLemkaddem, Alia
dc.contributor.authorLemay, Mathieu
dc.contributor.authorSchorer, Raoul
dc.contributor.authorChristen, Urvan
dc.contributor.authorKnebel, Jean-François
dc.contributor.authorWuerzner, Arlene
dc.contributor.authorBurnier, Michel
dc.contributor.authorWuerzner, Gregoire
dc.date.accessioned2022-02-14T17:08:19Z
dc.date.available2022-02-14T17:08:19Z
dc.date.issued2020-10-20
dc.description.abstractMobile health diagnostics have been shown to be effective and scalable for chronic disease detection and management. By maximizing the smartphones’ optics and computational power, they could allow assessment of physiological information from the morphology of pulse waves and thus estimate cuffless blood pressure (BP). We trained the parameters of an existing pulse wave analysis algorithm (oBPM), previously validated in anaesthesia on pulse oximeter signals, by collecting optical signals from 51 patients fingertips via a smartphone while simultaneously acquiring BP measurements through an arterial catheter. We then compared smartphone-based measurements obtained on 50 participants in an ambulatory setting via the OptiBP app against simultaneously acquired auscultatory systolic blood pressure (SBP), diastolic blood pressure (DBP) and mean blood pressure (MBP) measurements. Patients were normotensive (70.0% for SBP versus 61.4% for DBP), hypertensive (17.1% vs. 13.6%) or hypotensive (12.9% vs. 25.0%). The difference in BP (mean?±?standard deviation) between both methods were within the ISO 81,060–2:2018 standard for SBP (??0.7?±?7.7 mmHg), DBP (??0.4?±?4.5 mmHg) and MBP (??0.6?±?5.2 mmHg). These results demonstrate that BP can be measured with accuracy at the finger using the OptiBP smartphone app. This may become an important tool to detect hypertension in various settings, for example in low-income countries, where the availability of smartphones is high but access to health care is low.
dc.identifier.citationScientific Reports, vol. 10 (1), pp. 17827
dc.identifier.doi10.1038/s41598-020-74955-4
dc.identifier.issn2045-2322
dc.identifier.urihttps://hdl.handle.net/20.500.12839/982
dc.identifier.urlhttps://www.nature.com/articles/s41598-020-74955-4
dc.titleBlood pressure measurements with the OptiBP smartphone app validated against reference auscultatory measurements
dc.typeJournal Article
dc.type.csemdivisionsDiv-E
dc.type.csemresearchareasDigital Health
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