Web-Based Smartphone Algorithm for Calculating Blood Pressure From Photoplethysmography Remotely in a General Adult Population: Validation Study

BackgroundOutside of a clinical setting, oscillometric devices make remote monitoring of blood pressure and virtual care more convenient and feasible. HeartBeat Technologies Ltd developed a novel approach to measuring blood pressure remotely after an initial blood pressure re...

Full description

Bibliographic Details
Main Authors: Holyoke, Paul, Yogaratnam, Karthika, Kalles, Elizabeth
Format: Article
Language:English
Published: JMIR Publications 2021-04-01
Series:Journal of Medical Internet Research
Online Access:https://www.jmir.org/2021/4/e19187
id doaj-986045aea9ab4147970c5de59bc49bd0
record_format Article
spelling doaj-986045aea9ab4147970c5de59bc49bd02021-04-23T14:30:53ZengJMIR PublicationsJournal of Medical Internet Research1438-88712021-04-01234e1918710.2196/19187Web-Based Smartphone Algorithm for Calculating Blood Pressure From Photoplethysmography Remotely in a General Adult Population: Validation StudyHolyoke, PaulYogaratnam, KarthikaKalles, Elizabeth BackgroundOutside of a clinical setting, oscillometric devices make remote monitoring of blood pressure and virtual care more convenient and feasible. HeartBeat Technologies Ltd developed a novel approach to measuring blood pressure remotely after an initial blood pressure reading by a nurse using the conventional measurement method. Using a finger pulse oximeter, a photoplethysmogram wave is transmitted by Bluetooth to a smartphone or tablet. A smartphone app (MediBeat) transmits the photoplethysmogram to a server for analysis by a proprietary algorithm—the person’s current blood pressure is sent back to the smartphone and to the individual’s health care provider. ObjectiveThis study sought to determine whether the HeartBeat algorithm calculates blood pressure as accurately as required by the European Society of Hypertension International Protocol revision 2010 (ESH-IP2) for validation of blood pressure measuring devices. MethodsESH-IP2 requirements, modified to conform to a more recent international consensus statement, were followed. The ESH-IP2 establishes strict guidelines for the conduct and reporting of any validation of any device to measure blood pressure, including using the standard manual blood pressure instrument as a comparator and specific required accuracy levels for low, medium, and high ranges of blood pressure readings. The consensus statement requires a greater number of study participants for each of the blood pressure ranges. The validation of the accuracy of the algorithm was conducted with a Contec CMS50EW pulse oximeter and a Samsung Galaxy XCover 4 smartphone. ResultsThe differences between the HeartBeat-calculated and the manually measured blood pressures of 62 study participants did not meet the ESH-IP2 standards for accuracy for either systolic or diastolic blood pressure measurements. There was no discernible pattern in the inaccuracies of the HeartBeat-calculated measurements. ConclusionsThe October 4, 2019 version of the HeartBeat algorithm, implemented in combination with the MediBeat app, a pulse oximeter, and an Android smartphone, was not sufficiently accurate for use in a general adult population. Trial RegistrationClinicalTrials.gov NCT04082819; http://clinicaltrials.gov/ct2/show/NCT04082819https://www.jmir.org/2021/4/e19187
collection DOAJ
language English
format Article
sources DOAJ
author Holyoke, Paul
Yogaratnam, Karthika
Kalles, Elizabeth
spellingShingle Holyoke, Paul
Yogaratnam, Karthika
Kalles, Elizabeth
Web-Based Smartphone Algorithm for Calculating Blood Pressure From Photoplethysmography Remotely in a General Adult Population: Validation Study
Journal of Medical Internet Research
author_facet Holyoke, Paul
Yogaratnam, Karthika
Kalles, Elizabeth
author_sort Holyoke, Paul
title Web-Based Smartphone Algorithm for Calculating Blood Pressure From Photoplethysmography Remotely in a General Adult Population: Validation Study
title_short Web-Based Smartphone Algorithm for Calculating Blood Pressure From Photoplethysmography Remotely in a General Adult Population: Validation Study
title_full Web-Based Smartphone Algorithm for Calculating Blood Pressure From Photoplethysmography Remotely in a General Adult Population: Validation Study
title_fullStr Web-Based Smartphone Algorithm for Calculating Blood Pressure From Photoplethysmography Remotely in a General Adult Population: Validation Study
title_full_unstemmed Web-Based Smartphone Algorithm for Calculating Blood Pressure From Photoplethysmography Remotely in a General Adult Population: Validation Study
title_sort web-based smartphone algorithm for calculating blood pressure from photoplethysmography remotely in a general adult population: validation study
publisher JMIR Publications
series Journal of Medical Internet Research
issn 1438-8871
publishDate 2021-04-01
description BackgroundOutside of a clinical setting, oscillometric devices make remote monitoring of blood pressure and virtual care more convenient and feasible. HeartBeat Technologies Ltd developed a novel approach to measuring blood pressure remotely after an initial blood pressure reading by a nurse using the conventional measurement method. Using a finger pulse oximeter, a photoplethysmogram wave is transmitted by Bluetooth to a smartphone or tablet. A smartphone app (MediBeat) transmits the photoplethysmogram to a server for analysis by a proprietary algorithm—the person’s current blood pressure is sent back to the smartphone and to the individual’s health care provider. ObjectiveThis study sought to determine whether the HeartBeat algorithm calculates blood pressure as accurately as required by the European Society of Hypertension International Protocol revision 2010 (ESH-IP2) for validation of blood pressure measuring devices. MethodsESH-IP2 requirements, modified to conform to a more recent international consensus statement, were followed. The ESH-IP2 establishes strict guidelines for the conduct and reporting of any validation of any device to measure blood pressure, including using the standard manual blood pressure instrument as a comparator and specific required accuracy levels for low, medium, and high ranges of blood pressure readings. The consensus statement requires a greater number of study participants for each of the blood pressure ranges. The validation of the accuracy of the algorithm was conducted with a Contec CMS50EW pulse oximeter and a Samsung Galaxy XCover 4 smartphone. ResultsThe differences between the HeartBeat-calculated and the manually measured blood pressures of 62 study participants did not meet the ESH-IP2 standards for accuracy for either systolic or diastolic blood pressure measurements. There was no discernible pattern in the inaccuracies of the HeartBeat-calculated measurements. ConclusionsThe October 4, 2019 version of the HeartBeat algorithm, implemented in combination with the MediBeat app, a pulse oximeter, and an Android smartphone, was not sufficiently accurate for use in a general adult population. Trial RegistrationClinicalTrials.gov NCT04082819; http://clinicaltrials.gov/ct2/show/NCT04082819
url https://www.jmir.org/2021/4/e19187
work_keys_str_mv AT holyokepaul webbasedsmartphonealgorithmforcalculatingbloodpressurefromphotoplethysmographyremotelyinageneraladultpopulationvalidationstudy
AT yogaratnamkarthika webbasedsmartphonealgorithmforcalculatingbloodpressurefromphotoplethysmographyremotelyinageneraladultpopulationvalidationstudy
AT kalleselizabeth webbasedsmartphonealgorithmforcalculatingbloodpressurefromphotoplethysmographyremotelyinageneraladultpopulationvalidationstudy
_version_ 1721512681367666688