Loading…
A novel smartphone app for blood pressure measurement: a proof-of-concept study against an arterial catheter
Smartphones may provide a highly available access to simplified hypertension screening in environments with limited health care resources. Most studies involving smartphone blood pressure (BP) apps have focused on validation in static conditions without taking into account intraindividual BP variati...
Saved in:
Published in: | Journal of clinical monitoring and computing 2023-02, Vol.37 (1), p.249-259 |
---|---|
Main Authors: | , , , , , , , , , |
Format: | Article |
Language: | English |
Subjects: | |
Citations: | Items that this one cites Items that cite this one |
Online Access: | Get full text |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
cited_by | cdi_FETCH-LOGICAL-c474t-9a51c7e59b0dd7b043a508fbf7d120f53557f8caf2a81766e1cdd2d6097bbd5f3 |
---|---|
cites | cdi_FETCH-LOGICAL-c474t-9a51c7e59b0dd7b043a508fbf7d120f53557f8caf2a81766e1cdd2d6097bbd5f3 |
container_end_page | 259 |
container_issue | 1 |
container_start_page | 249 |
container_title | Journal of clinical monitoring and computing |
container_volume | 37 |
creator | Hofmann, G. Proença, M. Degott, J. Bonnier, G. Lemkaddem, A. Lemay, M. Schorer, R. Christen, U. Knebel, J.-F. Schoettker, P. |
description | Smartphones may provide a highly available access to simplified hypertension screening in environments with limited health care resources. Most studies involving smartphone blood pressure (BP) apps have focused on validation in static conditions without taking into account intraindividual BP variations. We report here the first experimental evidence of smartphone-derived BP estimation compared to an arterial catheter in a highly dynamic context such as induction of general anesthesia. We tested a smartphone app (OptiBP) on 121 patients requiring general anesthesia and invasive BP monitoring. For each patient, ten 1-min segments aligned in time with ten smartphone recordings were extracted from the continuous invasive BP. A total of 1152 recordings from 119 patients were analyzed. After exclusion of 2 subjects and rejection of 565 recordings due to BP estimation not generated by the app, we retained 565 recordings from 109 patients (acceptance rate 51.1%). Concordance rate (CR) and angular CR demonstrated values of more than 90% for systolic (SBP), diastolic (DBP) and mean (MBP) BP. Error grid analysis showed that 98% of measurement pairs were in no- or low-risk zones for SBP and MBP, of which more than 89% in the no-risk zone. Evaluation of accuracy and precision [bias ± standard deviation (95% limits of agreement)] between the app and the invasive BP was 0.0 ± 7.5 mmHg [− 14.9, 14.8], 0.1 ± 2.9 mmHg [− 5.5, 5.7], and 0.1 ± 4.2 mmHg [− 8.3, 8.4] for SBP, DBP and MBP respectively. To the best of our knowledge, this is the first time a smartphone app was compared to an invasive BP reference. Its trending ability was investigated in highly dynamic conditions, demonstrating high concordance and accuracy. Our study could lead the way for mobile devices to leverage the measurement of BP and management of hypertension. |
doi_str_mv | 10.1007/s10877-022-00886-2 |
format | article |
fullrecord | <record><control><sourceid>proquest_pubme</sourceid><recordid>TN_cdi_pubmedcentral_primary_oai_pubmedcentral_nih_gov_9852190</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><sourcerecordid>2679238203</sourcerecordid><originalsourceid>FETCH-LOGICAL-c474t-9a51c7e59b0dd7b043a508fbf7d120f53557f8caf2a81766e1cdd2d6097bbd5f3</originalsourceid><addsrcrecordid>eNp9UUtrFjEUDaLYWv0DLiTgxk30JplMEhdCKb6g0E27Dpk8vm_KTDImM4X-e9N-tT4WQuBecs899xwOQq8pvKcA8kOloKQkwBgBUKon7Ak6pkJywnraPW09V5JQDvIIvaj1GgC04vQ5OuJCMtmx_hhNpzjlmzDhOtuyLvucArbLgmMueJhy9ngpodatBDwHe1fnkNaP2Lb_nCNpz-XkwrLium7-FtudHVNdsU24EYYy2gk7u-5D61-iZ9FONbx6qCfo6svny7Nv5Pzi6_ez03PiOtmtRFtBnQxCD-C9HKDjVoCKQ5SeMoiCCyGjcjYyq6js-0Cd98z3oOUweBH5Cfp04F22YQ7eNcXFTmYpYzN5a7Idzd-TNO7NLt8YrQSjGhrBuweCkn9soa5mHqsL02RTyFs1rJeaccWAN-jbf6DXeSup2TOsaVNaU9E1FDugXMm1lhAfxVAwd2GaQ5imhWnuwzSsLb3508bjyq_0GoAfALWN0i6U37f_Q_sTx4es4g</addsrcrecordid><sourcetype>Open Access Repository</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>2766899154</pqid></control><display><type>article</type><title>A novel smartphone app for blood pressure measurement: a proof-of-concept study against an arterial catheter</title><source>Springer Nature</source><creator>Hofmann, G. ; Proença, M. ; Degott, J. ; Bonnier, G. ; Lemkaddem, A. ; Lemay, M. ; Schorer, R. ; Christen, U. ; Knebel, J.-F. ; Schoettker, P.</creator><creatorcontrib>Hofmann, G. ; Proença, M. ; Degott, J. ; Bonnier, G. ; Lemkaddem, A. ; Lemay, M. ; Schorer, R. ; Christen, U. ; Knebel, J.-F. ; Schoettker, P.</creatorcontrib><description>Smartphones may provide a highly available access to simplified hypertension screening in environments with limited health care resources. Most studies involving smartphone blood pressure (BP) apps have focused on validation in static conditions without taking into account intraindividual BP variations. We report here the first experimental evidence of smartphone-derived BP estimation compared to an arterial catheter in a highly dynamic context such as induction of general anesthesia. We tested a smartphone app (OptiBP) on 121 patients requiring general anesthesia and invasive BP monitoring. For each patient, ten 1-min segments aligned in time with ten smartphone recordings were extracted from the continuous invasive BP. A total of 1152 recordings from 119 patients were analyzed. After exclusion of 2 subjects and rejection of 565 recordings due to BP estimation not generated by the app, we retained 565 recordings from 109 patients (acceptance rate 51.1%). Concordance rate (CR) and angular CR demonstrated values of more than 90% for systolic (SBP), diastolic (DBP) and mean (MBP) BP. Error grid analysis showed that 98% of measurement pairs were in no- or low-risk zones for SBP and MBP, of which more than 89% in the no-risk zone. Evaluation of accuracy and precision [bias ± standard deviation (95% limits of agreement)] between the app and the invasive BP was 0.0 ± 7.5 mmHg [− 14.9, 14.8], 0.1 ± 2.9 mmHg [− 5.5, 5.7], and 0.1 ± 4.2 mmHg [− 8.3, 8.4] for SBP, DBP and MBP respectively. To the best of our knowledge, this is the first time a smartphone app was compared to an invasive BP reference. Its trending ability was investigated in highly dynamic conditions, demonstrating high concordance and accuracy. Our study could lead the way for mobile devices to leverage the measurement of BP and management of hypertension.</description><identifier>ISSN: 1387-1307</identifier><identifier>EISSN: 1573-2614</identifier><identifier>DOI: 10.1007/s10877-022-00886-2</identifier><identifier>PMID: 35727426</identifier><language>eng</language><publisher>Dordrecht: Springer Netherlands</publisher><subject>Anesthesia ; Anesthesiology ; Applications programs ; Blood pressure ; Blood Pressure - physiology ; Blood Pressure Determination ; Cannula ; Catheters ; Critical Care Medicine ; Electronic devices ; Error analysis ; General anesthesia ; Health Sciences ; Humans ; Hypertension ; Hypertension - diagnosis ; Intensive ; Medicine ; Medicine & Public Health ; Mobile Applications ; Original Research ; Pressure measurement ; Smartphone ; Smartphones ; Statistics for Life Sciences</subject><ispartof>Journal of clinical monitoring and computing, 2023-02, Vol.37 (1), p.249-259</ispartof><rights>The Author(s) 2022</rights><rights>2022. The Author(s).</rights><rights>The Author(s) 2022. This work is published under http://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c474t-9a51c7e59b0dd7b043a508fbf7d120f53557f8caf2a81766e1cdd2d6097bbd5f3</citedby><cites>FETCH-LOGICAL-c474t-9a51c7e59b0dd7b043a508fbf7d120f53557f8caf2a81766e1cdd2d6097bbd5f3</cites><orcidid>0000-0001-9471-8563</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>230,314,780,784,885,27924,27925</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/35727426$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Hofmann, G.</creatorcontrib><creatorcontrib>Proença, M.</creatorcontrib><creatorcontrib>Degott, J.</creatorcontrib><creatorcontrib>Bonnier, G.</creatorcontrib><creatorcontrib>Lemkaddem, A.</creatorcontrib><creatorcontrib>Lemay, M.</creatorcontrib><creatorcontrib>Schorer, R.</creatorcontrib><creatorcontrib>Christen, U.</creatorcontrib><creatorcontrib>Knebel, J.-F.</creatorcontrib><creatorcontrib>Schoettker, P.</creatorcontrib><title>A novel smartphone app for blood pressure measurement: a proof-of-concept study against an arterial catheter</title><title>Journal of clinical monitoring and computing</title><addtitle>J Clin Monit Comput</addtitle><addtitle>J Clin Monit Comput</addtitle><description>Smartphones may provide a highly available access to simplified hypertension screening in environments with limited health care resources. Most studies involving smartphone blood pressure (BP) apps have focused on validation in static conditions without taking into account intraindividual BP variations. We report here the first experimental evidence of smartphone-derived BP estimation compared to an arterial catheter in a highly dynamic context such as induction of general anesthesia. We tested a smartphone app (OptiBP) on 121 patients requiring general anesthesia and invasive BP monitoring. For each patient, ten 1-min segments aligned in time with ten smartphone recordings were extracted from the continuous invasive BP. A total of 1152 recordings from 119 patients were analyzed. After exclusion of 2 subjects and rejection of 565 recordings due to BP estimation not generated by the app, we retained 565 recordings from 109 patients (acceptance rate 51.1%). Concordance rate (CR) and angular CR demonstrated values of more than 90% for systolic (SBP), diastolic (DBP) and mean (MBP) BP. Error grid analysis showed that 98% of measurement pairs were in no- or low-risk zones for SBP and MBP, of which more than 89% in the no-risk zone. Evaluation of accuracy and precision [bias ± standard deviation (95% limits of agreement)] between the app and the invasive BP was 0.0 ± 7.5 mmHg [− 14.9, 14.8], 0.1 ± 2.9 mmHg [− 5.5, 5.7], and 0.1 ± 4.2 mmHg [− 8.3, 8.4] for SBP, DBP and MBP respectively. To the best of our knowledge, this is the first time a smartphone app was compared to an invasive BP reference. Its trending ability was investigated in highly dynamic conditions, demonstrating high concordance and accuracy. Our study could lead the way for mobile devices to leverage the measurement of BP and management of hypertension.</description><subject>Anesthesia</subject><subject>Anesthesiology</subject><subject>Applications programs</subject><subject>Blood pressure</subject><subject>Blood Pressure - physiology</subject><subject>Blood Pressure Determination</subject><subject>Cannula</subject><subject>Catheters</subject><subject>Critical Care Medicine</subject><subject>Electronic devices</subject><subject>Error analysis</subject><subject>General anesthesia</subject><subject>Health Sciences</subject><subject>Humans</subject><subject>Hypertension</subject><subject>Hypertension - diagnosis</subject><subject>Intensive</subject><subject>Medicine</subject><subject>Medicine & Public Health</subject><subject>Mobile Applications</subject><subject>Original Research</subject><subject>Pressure measurement</subject><subject>Smartphone</subject><subject>Smartphones</subject><subject>Statistics for Life Sciences</subject><issn>1387-1307</issn><issn>1573-2614</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2023</creationdate><recordtype>article</recordtype><recordid>eNp9UUtrFjEUDaLYWv0DLiTgxk30JplMEhdCKb6g0E27Dpk8vm_KTDImM4X-e9N-tT4WQuBecs899xwOQq8pvKcA8kOloKQkwBgBUKon7Ak6pkJywnraPW09V5JQDvIIvaj1GgC04vQ5OuJCMtmx_hhNpzjlmzDhOtuyLvucArbLgmMueJhy9ngpodatBDwHe1fnkNaP2Lb_nCNpz-XkwrLium7-FtudHVNdsU24EYYy2gk7u-5D61-iZ9FONbx6qCfo6svny7Nv5Pzi6_ez03PiOtmtRFtBnQxCD-C9HKDjVoCKQ5SeMoiCCyGjcjYyq6js-0Cd98z3oOUweBH5Cfp04F22YQ7eNcXFTmYpYzN5a7Idzd-TNO7NLt8YrQSjGhrBuweCkn9soa5mHqsL02RTyFs1rJeaccWAN-jbf6DXeSup2TOsaVNaU9E1FDugXMm1lhAfxVAwd2GaQ5imhWnuwzSsLb3508bjyq_0GoAfALWN0i6U37f_Q_sTx4es4g</recordid><startdate>20230201</startdate><enddate>20230201</enddate><creator>Hofmann, G.</creator><creator>Proença, M.</creator><creator>Degott, J.</creator><creator>Bonnier, G.</creator><creator>Lemkaddem, A.</creator><creator>Lemay, M.</creator><creator>Schorer, R.</creator><creator>Christen, U.</creator><creator>Knebel, J.-F.</creator><creator>Schoettker, P.</creator><general>Springer Netherlands</general><general>Springer Nature B.V</general><scope>C6C</scope><scope>CGR</scope><scope>CUY</scope><scope>CVF</scope><scope>ECM</scope><scope>EIF</scope><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>3V.</scope><scope>7RV</scope><scope>7SC</scope><scope>7SP</scope><scope>7U5</scope><scope>7X7</scope><scope>7XB</scope><scope>88E</scope><scope>8AO</scope><scope>8FD</scope><scope>8FE</scope><scope>8FG</scope><scope>8FI</scope><scope>8FJ</scope><scope>8FK</scope><scope>ABUWG</scope><scope>AFKRA</scope><scope>ARAPS</scope><scope>AZQEC</scope><scope>BENPR</scope><scope>BGLVJ</scope><scope>CCPQU</scope><scope>DWQXO</scope><scope>FYUFA</scope><scope>GHDGH</scope><scope>GNUQQ</scope><scope>HCIFZ</scope><scope>JQ2</scope><scope>K7-</scope><scope>K9.</scope><scope>KB0</scope><scope>L7M</scope><scope>L~C</scope><scope>L~D</scope><scope>M0S</scope><scope>M1P</scope><scope>NAPCQ</scope><scope>P5Z</scope><scope>P62</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PRINS</scope><scope>7X8</scope><scope>5PM</scope><orcidid>https://orcid.org/0000-0001-9471-8563</orcidid></search><sort><creationdate>20230201</creationdate><title>A novel smartphone app for blood pressure measurement: a proof-of-concept study against an arterial catheter</title><author>Hofmann, G. ; Proença, M. ; Degott, J. ; Bonnier, G. ; Lemkaddem, A. ; Lemay, M. ; Schorer, R. ; Christen, U. ; Knebel, J.-F. ; Schoettker, P.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c474t-9a51c7e59b0dd7b043a508fbf7d120f53557f8caf2a81766e1cdd2d6097bbd5f3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2023</creationdate><topic>Anesthesia</topic><topic>Anesthesiology</topic><topic>Applications programs</topic><topic>Blood pressure</topic><topic>Blood Pressure - physiology</topic><topic>Blood Pressure Determination</topic><topic>Cannula</topic><topic>Catheters</topic><topic>Critical Care Medicine</topic><topic>Electronic devices</topic><topic>Error analysis</topic><topic>General anesthesia</topic><topic>Health Sciences</topic><topic>Humans</topic><topic>Hypertension</topic><topic>Hypertension - diagnosis</topic><topic>Intensive</topic><topic>Medicine</topic><topic>Medicine & Public Health</topic><topic>Mobile Applications</topic><topic>Original Research</topic><topic>Pressure measurement</topic><topic>Smartphone</topic><topic>Smartphones</topic><topic>Statistics for Life Sciences</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Hofmann, G.</creatorcontrib><creatorcontrib>Proença, M.</creatorcontrib><creatorcontrib>Degott, J.</creatorcontrib><creatorcontrib>Bonnier, G.</creatorcontrib><creatorcontrib>Lemkaddem, A.</creatorcontrib><creatorcontrib>Lemay, M.</creatorcontrib><creatorcontrib>Schorer, R.</creatorcontrib><creatorcontrib>Christen, U.</creatorcontrib><creatorcontrib>Knebel, J.-F.</creatorcontrib><creatorcontrib>Schoettker, P.</creatorcontrib><collection>SpringerOpen</collection><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>ProQuest Central (Corporate)</collection><collection>Nursing & Allied Health Database</collection><collection>Computer and Information Systems Abstracts</collection><collection>Electronics & Communications Abstracts</collection><collection>Solid State and Superconductivity Abstracts</collection><collection>Health & Medical Collection</collection><collection>ProQuest Central (purchase pre-March 2016)</collection><collection>Medical Database (Alumni Edition)</collection><collection>ProQuest Pharma Collection</collection><collection>Technology Research Database</collection><collection>ProQuest SciTech Collection</collection><collection>ProQuest Technology Collection</collection><collection>Hospital Premium Collection</collection><collection>Hospital Premium Collection (Alumni Edition)</collection><collection>ProQuest Central (Alumni) (purchase pre-March 2016)</collection><collection>ProQuest Central (Alumni)</collection><collection>ProQuest Central</collection><collection>Advanced Technologies & Aerospace Collection</collection><collection>ProQuest Central Essentials</collection><collection>ProQuest Central</collection><collection>Technology Collection</collection><collection>ProQuest One Community College</collection><collection>ProQuest Central Korea</collection><collection>Health Research Premium Collection</collection><collection>Health Research Premium Collection (Alumni)</collection><collection>ProQuest Central Student</collection><collection>SciTech Premium Collection</collection><collection>ProQuest Computer Science Collection</collection><collection>Computer Science Database</collection><collection>ProQuest Health & Medical Complete (Alumni)</collection><collection>Nursing & Allied Health Database (Alumni Edition)</collection><collection>Advanced Technologies Database with Aerospace</collection><collection>Computer and Information Systems Abstracts Academic</collection><collection>Computer and Information Systems Abstracts Professional</collection><collection>Health & Medical Collection (Alumni Edition)</collection><collection>Medical Database</collection><collection>Nursing & Allied Health Premium</collection><collection>Advanced Technologies & Aerospace Database</collection><collection>ProQuest Advanced Technologies & Aerospace Collection</collection><collection>ProQuest One Academic Eastern Edition (DO NOT USE)</collection><collection>ProQuest One Academic</collection><collection>ProQuest One Academic UKI Edition</collection><collection>ProQuest Central China</collection><collection>MEDLINE - Academic</collection><collection>PubMed Central (Full Participant titles)</collection><jtitle>Journal of clinical monitoring and computing</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Hofmann, G.</au><au>Proença, M.</au><au>Degott, J.</au><au>Bonnier, G.</au><au>Lemkaddem, A.</au><au>Lemay, M.</au><au>Schorer, R.</au><au>Christen, U.</au><au>Knebel, J.-F.</au><au>Schoettker, P.</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>A novel smartphone app for blood pressure measurement: a proof-of-concept study against an arterial catheter</atitle><jtitle>Journal of clinical monitoring and computing</jtitle><stitle>J Clin Monit Comput</stitle><addtitle>J Clin Monit Comput</addtitle><date>2023-02-01</date><risdate>2023</risdate><volume>37</volume><issue>1</issue><spage>249</spage><epage>259</epage><pages>249-259</pages><issn>1387-1307</issn><eissn>1573-2614</eissn><abstract>Smartphones may provide a highly available access to simplified hypertension screening in environments with limited health care resources. Most studies involving smartphone blood pressure (BP) apps have focused on validation in static conditions without taking into account intraindividual BP variations. We report here the first experimental evidence of smartphone-derived BP estimation compared to an arterial catheter in a highly dynamic context such as induction of general anesthesia. We tested a smartphone app (OptiBP) on 121 patients requiring general anesthesia and invasive BP monitoring. For each patient, ten 1-min segments aligned in time with ten smartphone recordings were extracted from the continuous invasive BP. A total of 1152 recordings from 119 patients were analyzed. After exclusion of 2 subjects and rejection of 565 recordings due to BP estimation not generated by the app, we retained 565 recordings from 109 patients (acceptance rate 51.1%). Concordance rate (CR) and angular CR demonstrated values of more than 90% for systolic (SBP), diastolic (DBP) and mean (MBP) BP. Error grid analysis showed that 98% of measurement pairs were in no- or low-risk zones for SBP and MBP, of which more than 89% in the no-risk zone. Evaluation of accuracy and precision [bias ± standard deviation (95% limits of agreement)] between the app and the invasive BP was 0.0 ± 7.5 mmHg [− 14.9, 14.8], 0.1 ± 2.9 mmHg [− 5.5, 5.7], and 0.1 ± 4.2 mmHg [− 8.3, 8.4] for SBP, DBP and MBP respectively. To the best of our knowledge, this is the first time a smartphone app was compared to an invasive BP reference. Its trending ability was investigated in highly dynamic conditions, demonstrating high concordance and accuracy. Our study could lead the way for mobile devices to leverage the measurement of BP and management of hypertension.</abstract><cop>Dordrecht</cop><pub>Springer Netherlands</pub><pmid>35727426</pmid><doi>10.1007/s10877-022-00886-2</doi><tpages>11</tpages><orcidid>https://orcid.org/0000-0001-9471-8563</orcidid><oa>free_for_read</oa></addata></record> |
fulltext | fulltext |
identifier | ISSN: 1387-1307 |
ispartof | Journal of clinical monitoring and computing, 2023-02, Vol.37 (1), p.249-259 |
issn | 1387-1307 1573-2614 |
language | eng |
recordid | cdi_pubmedcentral_primary_oai_pubmedcentral_nih_gov_9852190 |
source | Springer Nature |
subjects | Anesthesia Anesthesiology Applications programs Blood pressure Blood Pressure - physiology Blood Pressure Determination Cannula Catheters Critical Care Medicine Electronic devices Error analysis General anesthesia Health Sciences Humans Hypertension Hypertension - diagnosis Intensive Medicine Medicine & Public Health Mobile Applications Original Research Pressure measurement Smartphone Smartphones Statistics for Life Sciences |
title | A novel smartphone app for blood pressure measurement: a proof-of-concept study against an arterial catheter |
url | http://sfxeu10.hosted.exlibrisgroup.com/loughborough?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-01-01T22%3A45%3A01IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-proquest_pubme&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=A%20novel%20smartphone%20app%20for%20blood%20pressure%20measurement:%20a%20proof-of-concept%20study%20against%20an%20arterial%20catheter&rft.jtitle=Journal%20of%20clinical%20monitoring%20and%20computing&rft.au=Hofmann,%20G.&rft.date=2023-02-01&rft.volume=37&rft.issue=1&rft.spage=249&rft.epage=259&rft.pages=249-259&rft.issn=1387-1307&rft.eissn=1573-2614&rft_id=info:doi/10.1007/s10877-022-00886-2&rft_dat=%3Cproquest_pubme%3E2679238203%3C/proquest_pubme%3E%3Cgrp_id%3Ecdi_FETCH-LOGICAL-c474t-9a51c7e59b0dd7b043a508fbf7d120f53557f8caf2a81766e1cdd2d6097bbd5f3%3C/grp_id%3E%3Coa%3E%3C/oa%3E%3Curl%3E%3C/url%3E&rft_id=info:oai/&rft_pqid=2766899154&rft_id=info:pmid/35727426&rfr_iscdi=true |