A New Wearable Device for Blood Pressure Estimation Using Photoplethysmogram

We present a novel smartwatch, CareUp<inline-formula> <math display="inline"> <semantics> <msup> <mrow></mrow> <mi>&#174;</mi> </msup> </semantics> </math> </inline-formula>, for estimating the Blood Pressure (BP)...

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Main Authors: Remo Lazazzera, Yassir Belhaj, Guy Carrault
Format: Article
Language:English
Published: MDPI AG 2019-06-01
Series:Sensors
Subjects:
Online Access:https://www.mdpi.com/1424-8220/19/11/2557
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author Remo Lazazzera
Yassir Belhaj
Guy Carrault
author_facet Remo Lazazzera
Yassir Belhaj
Guy Carrault
author_sort Remo Lazazzera
collection DOAJ
description We present a novel smartwatch, CareUp<inline-formula> <math display="inline"> <semantics> <msup> <mrow></mrow> <mi>&#174;</mi> </msup> </semantics> </math> </inline-formula>, for estimating the Blood Pressure (BP) in real time. It consists of two pulse oximeters: one placed on the back and one on the front of the device. Placing the index finger on the front oximeter starts the acquisition of two photoplethysmograms (PPG); the signals are then filtered and cross-correlated to obtain a Time Delay between them, called Pulse Transit Time (PTT). The Heart Rate (HR) (estimated from the finger PPG) and the PTT are then input in a linear model to give an estimation of the Systolic and Diastolic BP. The performance of the smartwatch in measuring BP have been validated in the Institut Coeur Paris Centre Turin (ICPC), using a sphygmomanometer, on 44 subjects. During the validation, the measures of the CareUp<inline-formula> <math display="inline"> <semantics> <msup> <mrow></mrow> <mi>&#174;</mi> </msup> </semantics> </math> </inline-formula> were compared to those of two oscillometry-based devices already available on the market: Thuasne<inline-formula> <math display="inline"> <semantics> <msup> <mrow></mrow> <mi>&#174;</mi> </msup> </semantics> </math> </inline-formula> and Magnien<inline-formula> <math display="inline"> <semantics> <msup> <mrow></mrow> <mi>&#174;</mi> </msup> </semantics> </math> </inline-formula>. The results showed an accuracy comparable to the oscillometry-based devices and they almost agreed with the American Association for the Advancement of Medical Instrumentation standard for non-automated sphygmomanometers. The integration of the BP estimation algorithm in the smartwatch makes the CareUp<inline-formula> <math display="inline"> <semantics> <msup> <mrow></mrow> <mi>&#174;</mi> </msup> </semantics> </math> </inline-formula> an easy-to-use, wearable device for monitoring the BP in real time.
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spelling doaj.art-f52ffddb5185421687f0fb91b8d702c42022-12-22T04:24:18ZengMDPI AGSensors1424-82202019-06-011911255710.3390/s19112557s19112557A New Wearable Device for Blood Pressure Estimation Using PhotoplethysmogramRemo Lazazzera0Yassir Belhaj1Guy Carrault2Laboratoire Traitement du Signal et de l’Image, Université de Rennes 1, Rennes F35000, FranceFarasha Labs, Paris 75000, FranceLaboratoire Traitement du Signal et de l’Image, Université de Rennes 1, Rennes F35000, FranceWe present a novel smartwatch, CareUp<inline-formula> <math display="inline"> <semantics> <msup> <mrow></mrow> <mi>&#174;</mi> </msup> </semantics> </math> </inline-formula>, for estimating the Blood Pressure (BP) in real time. It consists of two pulse oximeters: one placed on the back and one on the front of the device. Placing the index finger on the front oximeter starts the acquisition of two photoplethysmograms (PPG); the signals are then filtered and cross-correlated to obtain a Time Delay between them, called Pulse Transit Time (PTT). The Heart Rate (HR) (estimated from the finger PPG) and the PTT are then input in a linear model to give an estimation of the Systolic and Diastolic BP. The performance of the smartwatch in measuring BP have been validated in the Institut Coeur Paris Centre Turin (ICPC), using a sphygmomanometer, on 44 subjects. During the validation, the measures of the CareUp<inline-formula> <math display="inline"> <semantics> <msup> <mrow></mrow> <mi>&#174;</mi> </msup> </semantics> </math> </inline-formula> were compared to those of two oscillometry-based devices already available on the market: Thuasne<inline-formula> <math display="inline"> <semantics> <msup> <mrow></mrow> <mi>&#174;</mi> </msup> </semantics> </math> </inline-formula> and Magnien<inline-formula> <math display="inline"> <semantics> <msup> <mrow></mrow> <mi>&#174;</mi> </msup> </semantics> </math> </inline-formula>. The results showed an accuracy comparable to the oscillometry-based devices and they almost agreed with the American Association for the Advancement of Medical Instrumentation standard for non-automated sphygmomanometers. The integration of the BP estimation algorithm in the smartwatch makes the CareUp<inline-formula> <math display="inline"> <semantics> <msup> <mrow></mrow> <mi>&#174;</mi> </msup> </semantics> </math> </inline-formula> an easy-to-use, wearable device for monitoring the BP in real time.https://www.mdpi.com/1424-8220/19/11/2557blood pressurephotoplethysmogrampulse transit timePPGPTT
spellingShingle Remo Lazazzera
Yassir Belhaj
Guy Carrault
A New Wearable Device for Blood Pressure Estimation Using Photoplethysmogram
Sensors
blood pressure
photoplethysmogram
pulse transit time
PPG
PTT
title A New Wearable Device for Blood Pressure Estimation Using Photoplethysmogram
title_full A New Wearable Device for Blood Pressure Estimation Using Photoplethysmogram
title_fullStr A New Wearable Device for Blood Pressure Estimation Using Photoplethysmogram
title_full_unstemmed A New Wearable Device for Blood Pressure Estimation Using Photoplethysmogram
title_short A New Wearable Device for Blood Pressure Estimation Using Photoplethysmogram
title_sort new wearable device for blood pressure estimation using photoplethysmogram
topic blood pressure
photoplethysmogram
pulse transit time
PPG
PTT
url https://www.mdpi.com/1424-8220/19/11/2557
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