{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,5,13]],"date-time":"2026-05-13T17:23:17Z","timestamp":1778692997092,"version":"3.51.4"},"reference-count":51,"publisher":"MDPI AG","issue":"11","license":[{"start":{"date-parts":[[2019,6,4]],"date-time":"2019-06-04T00:00:00Z","timestamp":1559606400000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Sensors"],"abstract":"<jats:p>We present a novel smartwatch, CareUp \u00ae , 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 \u00ae were compared to those of two oscillometry-based devices already available on the market: Thuasne \u00ae and Magnien \u00ae . 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 \u00ae an easy-to-use, wearable device for monitoring the BP in real time.<\/jats:p>","DOI":"10.3390\/s19112557","type":"journal-article","created":{"date-parts":[[2019,6,5]],"date-time":"2019-06-05T09:37:58Z","timestamp":1559727478000},"page":"2557","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":112,"title":["A New Wearable Device for Blood Pressure Estimation Using Photoplethysmogram"],"prefix":"10.3390","volume":"19","author":[{"given":"Remo","family":"Lazazzera","sequence":"first","affiliation":[{"name":"Laboratoire Traitement du Signal et de l\u2019Image, Universit\u00e9 de Rennes 1, Rennes F35000, France"},{"name":"Institut National de la Sant\u00e9 et de la Recherche M\u00e9dicale, U1099, Rennes F35000, France"},{"name":"Farasha Labs, Paris 75000, France"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Yassir","family":"Belhaj","sequence":"additional","affiliation":[{"name":"Farasha Labs, Paris 75000, France"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Guy","family":"Carrault","sequence":"additional","affiliation":[{"name":"Laboratoire Traitement du Signal et de l\u2019Image, Universit\u00e9 de Rennes 1, Rennes F35000, France"},{"name":"Institut National de la Sant\u00e9 et de la Recherche M\u00e9dicale, U1099, Rennes F35000, France"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"1968","published-online":{"date-parts":[[2019,6,4]]},"reference":[{"key":"ref_1","doi-asserted-by":"crossref","first-page":"1747","DOI":"10.1016\/S0140-6736(06)68770-9","article-title":"Global and regional burden of disease and risk factors, 2001: Systematic analysis of population health data","volume":"367","author":"Lopez","year":"2006","journal-title":"Lancet"},{"key":"ref_2","unstructured":"Centers of Disease Control and Prevention (2012). 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