Blood pressure measurements with the OptiBP smartphone app validated against reference auscultatory measurements
Patrick Schoettker, Jean Degott, Gregory Hofmann, Martin Proença, Guillaume Bonnier, Alia Lemkaddem, Mathieu Lemay, Raoul Schorer, Urvan Christen, Jean-François Knebel, Arlene Wuerzner, Michel Burnier, Gregoire Wuerzner, Patrick Schoettker, Jean Degott, Gregory Hofmann, Martin Proença, Guillaume Bonnier, Alia Lemkaddem, Mathieu Lemay, Raoul Schorer, Urvan Christen, Jean-François Knebel, Arlene Wuerzner, Michel Burnier, Gregoire Wuerzner
Abstract
Mobile 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.
Conflict of interest statement
Patrick Schoettker is an advisor to Biospectal. Martin Proença, Guillaume Bonnier, Alia Lemkaddem and Mathieu Lemay are with CSEM, the owner of the oBPM technology and assignee of the oBPM patent application (WO2016138965A1), of which Martin Proença and Mathieu Lemay are inventors. Jean Degott, Gregory Hofmann, Raoul Schorer, Arlene Wuerzner, Michel Burnier and Gregoire Wuerzner have no competing interest. Urvan Christen and Jean-François Knebel are working for Biospectal SA. Innosuisse—Swiss Innovation Agency, Project no. 32688.1 IP-ICT had no role in study design, data collection nor analysis, in the writing of the report nor in the decision to submit the paper for publication.
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Source: PubMed