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Motion analysis of cardiopulmonary resuscitation
Abstract Objective Some cardiopulmonary resuscitation (CPR) monitoring devices were released in recent years. Some of them are motion sensors. There are no guidelines were to position future or present sensors during CPR. We evaluate the possible influence of the location of motion sensors by a high...
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Published in: | The American journal of emergency medicine 2015-10, Vol.33 (10), p.1350-1353 |
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container_title | The American journal of emergency medicine |
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creator | Fournier, Nathalie, MD Godio-Raboutet, Yves Llari, Maxime Ibouanga-Kipoutou, Harold N Arnoux, Pierre-Jean, PhD Behr, Michel, PhD Boussen, Salah, MD, PhD |
description | Abstract Objective Some cardiopulmonary resuscitation (CPR) monitoring devices were released in recent years. Some of them are motion sensors. There are no guidelines were to position future or present sensors during CPR. We evaluate the possible influence of the location of motion sensors by a high-speed camera during a CPR on a manikin. Material and methods We performed a motion analysis by a high-speed camera during chest compression (CC) on a manikin to quantify chest inhomogeneous displacements and rescuer motion. Results Midline chest was found to have an inhomogeneous depth during CC (19 mm for the upper sternum, 27 mm for the middle of the sternum, and 47 mm for the xiphoid). Rescuer anatomy has a complex motion. Conclusion The direct application of the sensor under the hand performing CC seems to be the more accurate solution if the device allows it. |
doi_str_mv | 10.1016/j.ajem.2015.07.051 |
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Some of them are motion sensors. There are no guidelines were to position future or present sensors during CPR. We evaluate the possible influence of the location of motion sensors by a high-speed camera during a CPR on a manikin. Material and methods We performed a motion analysis by a high-speed camera during chest compression (CC) on a manikin to quantify chest inhomogeneous displacements and rescuer motion. Results Midline chest was found to have an inhomogeneous depth during CC (19 mm for the upper sternum, 27 mm for the middle of the sternum, and 47 mm for the xiphoid). Rescuer anatomy has a complex motion. Conclusion The direct application of the sensor under the hand performing CC seems to be the more accurate solution if the device allows it.</description><identifier>ISSN: 0735-6757</identifier><identifier>EISSN: 1532-8171</identifier><identifier>DOI: 10.1016/j.ajem.2015.07.051</identifier><identifier>PMID: 26306435</identifier><language>eng</language><publisher>United States: Elsevier Inc</publisher><subject>Accelerometers ; Accelerometry ; Cameras ; Cardiopulmonary resuscitation ; Cardiopulmonary Resuscitation - instrumentation ; Cardiopulmonary Resuscitation - methods ; Cellular telephones ; CPR ; Data processing ; Elbow ; Emergency ; Emergency medical care ; Feedback ; Female ; Human health and pathology ; Humans ; Life Sciences ; Male ; Manikins ; Motion ; Patient Positioning ; Photography ; Sensors ; Software ; Statistical analysis ; Thorax - physiology</subject><ispartof>The American journal of emergency medicine, 2015-10, Vol.33 (10), p.1350-1353</ispartof><rights>Elsevier Inc.</rights><rights>2015 Elsevier Inc.</rights><rights>Copyright © 2015 Elsevier Inc. All rights reserved.</rights><rights>Copyright Elsevier Limited 2015</rights><rights>Distributed under a Creative Commons Attribution 4.0 International License</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c543t-fec5a60e4e18cf3a5cbcbffdc2a295351b99665cb4b2b4434a63b70d67f75aea3</citedby><cites>FETCH-LOGICAL-c543t-fec5a60e4e18cf3a5cbcbffdc2a295351b99665cb4b2b4434a63b70d67f75aea3</cites><orcidid>0000-0001-6889-8724 ; 0000-0002-9259-1498 ; 0000-0002-5402-1726 ; 0000-0002-0311-560X</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/26306435$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink><backlink>$$Uhttps://hal.science/hal-01447159$$DView record in HAL$$Hfree_for_read</backlink></links><search><creatorcontrib>Fournier, Nathalie, MD</creatorcontrib><creatorcontrib>Godio-Raboutet, Yves</creatorcontrib><creatorcontrib>Llari, Maxime</creatorcontrib><creatorcontrib>Ibouanga-Kipoutou, Harold N</creatorcontrib><creatorcontrib>Arnoux, Pierre-Jean, PhD</creatorcontrib><creatorcontrib>Behr, Michel, PhD</creatorcontrib><creatorcontrib>Boussen, Salah, MD, PhD</creatorcontrib><title>Motion analysis of cardiopulmonary resuscitation</title><title>The American journal of emergency medicine</title><addtitle>Am J Emerg Med</addtitle><description>Abstract Objective Some cardiopulmonary resuscitation (CPR) monitoring devices were released in recent years. Some of them are motion sensors. There are no guidelines were to position future or present sensors during CPR. We evaluate the possible influence of the location of motion sensors by a high-speed camera during a CPR on a manikin. Material and methods We performed a motion analysis by a high-speed camera during chest compression (CC) on a manikin to quantify chest inhomogeneous displacements and rescuer motion. Results Midline chest was found to have an inhomogeneous depth during CC (19 mm for the upper sternum, 27 mm for the middle of the sternum, and 47 mm for the xiphoid). Rescuer anatomy has a complex motion. Conclusion The direct application of the sensor under the hand performing CC seems to be the more accurate solution if the device allows it.</description><subject>Accelerometers</subject><subject>Accelerometry</subject><subject>Cameras</subject><subject>Cardiopulmonary resuscitation</subject><subject>Cardiopulmonary Resuscitation - instrumentation</subject><subject>Cardiopulmonary Resuscitation - methods</subject><subject>Cellular telephones</subject><subject>CPR</subject><subject>Data processing</subject><subject>Elbow</subject><subject>Emergency</subject><subject>Emergency medical care</subject><subject>Feedback</subject><subject>Female</subject><subject>Human health and pathology</subject><subject>Humans</subject><subject>Life Sciences</subject><subject>Male</subject><subject>Manikins</subject><subject>Motion</subject><subject>Patient Positioning</subject><subject>Photography</subject><subject>Sensors</subject><subject>Software</subject><subject>Statistical analysis</subject><subject>Thorax - physiology</subject><issn>0735-6757</issn><issn>1532-8171</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2015</creationdate><recordtype>article</recordtype><recordid>eNp9kc9r1UAQxxex2NfqP-BBHnjRQ9LZ3y8ghVKsLbziQT0vm80ENybZ525SeP-9G1Ir9OBpYPjMl5nPEPKWQkmBqouutB0OJQMqS9AlSPqCbKjkrNhRTV-SDWguC6WlPiVnKXUAlAopXpFTpjgoweWGwH2YfBi3drT9Mfm0De3W2dj4cJj7IYw2HrcR05ycn-xCviYnre0Tvnms5-THzefv17fF_uuXu-urfeGk4FPRopNWAQqkO9dyK13t6rZtHLOsklzSuqqUyl1Rs1oILqzitYZG6VZLi5afk49r7k_bm0P0Q97EBOvN7dXeLD2gQmgqqwea2Q8re4jh94xpMoNPDvvejhjmZLINVXFFucro-2doF-aYj18pVukd32WKrZSLIaWI7dMGFMzi3nRmcW8W9wa0ye7z0LvH6LkesHka-Ss7A59WALO3B4_RZKs4Omx8RDeZJvj_518-G3e9H72z_S88Yvp3h0nMgPm2fH95PpUACrTkfwB02Kif</recordid><startdate>20151001</startdate><enddate>20151001</enddate><creator>Fournier, Nathalie, MD</creator><creator>Godio-Raboutet, Yves</creator><creator>Llari, Maxime</creator><creator>Ibouanga-Kipoutou, Harold N</creator><creator>Arnoux, Pierre-Jean, PhD</creator><creator>Behr, Michel, PhD</creator><creator>Boussen, Salah, MD, PhD</creator><general>Elsevier Inc</general><general>Elsevier Limited</general><general>Elsevier</general><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>7T5</scope><scope>7X7</scope><scope>7XB</scope><scope>88E</scope><scope>8FI</scope><scope>8FJ</scope><scope>8FK</scope><scope>8G5</scope><scope>ABUWG</scope><scope>AFKRA</scope><scope>AZQEC</scope><scope>BENPR</scope><scope>CCPQU</scope><scope>DWQXO</scope><scope>FYUFA</scope><scope>GHDGH</scope><scope>GNUQQ</scope><scope>GUQSH</scope><scope>H94</scope><scope>K9.</scope><scope>KB0</scope><scope>M0S</scope><scope>M1P</scope><scope>M2O</scope><scope>MBDVC</scope><scope>NAPCQ</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>Q9U</scope><scope>7X8</scope><scope>1XC</scope><orcidid>https://orcid.org/0000-0001-6889-8724</orcidid><orcidid>https://orcid.org/0000-0002-9259-1498</orcidid><orcidid>https://orcid.org/0000-0002-5402-1726</orcidid><orcidid>https://orcid.org/0000-0002-0311-560X</orcidid></search><sort><creationdate>20151001</creationdate><title>Motion analysis of cardiopulmonary resuscitation</title><author>Fournier, Nathalie, MD ; Godio-Raboutet, Yves ; Llari, Maxime ; Ibouanga-Kipoutou, Harold N ; Arnoux, Pierre-Jean, PhD ; Behr, Michel, PhD ; Boussen, Salah, MD, PhD</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c543t-fec5a60e4e18cf3a5cbcbffdc2a295351b99665cb4b2b4434a63b70d67f75aea3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2015</creationdate><topic>Accelerometers</topic><topic>Accelerometry</topic><topic>Cameras</topic><topic>Cardiopulmonary resuscitation</topic><topic>Cardiopulmonary Resuscitation - instrumentation</topic><topic>Cardiopulmonary Resuscitation - methods</topic><topic>Cellular telephones</topic><topic>CPR</topic><topic>Data processing</topic><topic>Elbow</topic><topic>Emergency</topic><topic>Emergency medical care</topic><topic>Feedback</topic><topic>Female</topic><topic>Human health and pathology</topic><topic>Humans</topic><topic>Life Sciences</topic><topic>Male</topic><topic>Manikins</topic><topic>Motion</topic><topic>Patient Positioning</topic><topic>Photography</topic><topic>Sensors</topic><topic>Software</topic><topic>Statistical analysis</topic><topic>Thorax - physiology</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Fournier, Nathalie, MD</creatorcontrib><creatorcontrib>Godio-Raboutet, Yves</creatorcontrib><creatorcontrib>Llari, Maxime</creatorcontrib><creatorcontrib>Ibouanga-Kipoutou, Harold N</creatorcontrib><creatorcontrib>Arnoux, Pierre-Jean, PhD</creatorcontrib><creatorcontrib>Behr, Michel, PhD</creatorcontrib><creatorcontrib>Boussen, Salah, MD, PhD</creatorcontrib><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>Immunology Abstracts</collection><collection>Health & Medical Collection</collection><collection>ProQuest Central (purchase pre-March 2016)</collection><collection>Medical Database (Alumni Edition)</collection><collection>Hospital Premium Collection</collection><collection>Hospital Premium Collection (Alumni Edition)</collection><collection>ProQuest Central (Alumni) (purchase pre-March 2016)</collection><collection>Research Library (Alumni Edition)</collection><collection>ProQuest Central (Alumni)</collection><collection>ProQuest Central</collection><collection>ProQuest Central Essentials</collection><collection>ProQuest Databases</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>Research Library Prep</collection><collection>AIDS and Cancer Research Abstracts</collection><collection>ProQuest Health & Medical Complete (Alumni)</collection><collection>Nursing & Allied Health Database (Alumni Edition)</collection><collection>Health & Medical Collection (Alumni Edition)</collection><collection>Medical Database</collection><collection>Research Library</collection><collection>Research Library (Corporate)</collection><collection>Nursing & Allied Health Premium</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 Basic</collection><collection>MEDLINE - Academic</collection><collection>Hyper Article en Ligne (HAL)</collection><jtitle>The American journal of emergency medicine</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Fournier, Nathalie, MD</au><au>Godio-Raboutet, Yves</au><au>Llari, Maxime</au><au>Ibouanga-Kipoutou, Harold N</au><au>Arnoux, Pierre-Jean, PhD</au><au>Behr, Michel, PhD</au><au>Boussen, Salah, MD, PhD</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Motion analysis of cardiopulmonary resuscitation</atitle><jtitle>The American journal of emergency medicine</jtitle><addtitle>Am J Emerg Med</addtitle><date>2015-10-01</date><risdate>2015</risdate><volume>33</volume><issue>10</issue><spage>1350</spage><epage>1353</epage><pages>1350-1353</pages><issn>0735-6757</issn><eissn>1532-8171</eissn><abstract>Abstract Objective Some cardiopulmonary resuscitation (CPR) monitoring devices were released in recent years. Some of them are motion sensors. There are no guidelines were to position future or present sensors during CPR. We evaluate the possible influence of the location of motion sensors by a high-speed camera during a CPR on a manikin. Material and methods We performed a motion analysis by a high-speed camera during chest compression (CC) on a manikin to quantify chest inhomogeneous displacements and rescuer motion. Results Midline chest was found to have an inhomogeneous depth during CC (19 mm for the upper sternum, 27 mm for the middle of the sternum, and 47 mm for the xiphoid). Rescuer anatomy has a complex motion. Conclusion The direct application of the sensor under the hand performing CC seems to be the more accurate solution if the device allows it.</abstract><cop>United States</cop><pub>Elsevier Inc</pub><pmid>26306435</pmid><doi>10.1016/j.ajem.2015.07.051</doi><tpages>4</tpages><orcidid>https://orcid.org/0000-0001-6889-8724</orcidid><orcidid>https://orcid.org/0000-0002-9259-1498</orcidid><orcidid>https://orcid.org/0000-0002-5402-1726</orcidid><orcidid>https://orcid.org/0000-0002-0311-560X</orcidid></addata></record> |
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subjects | Accelerometers Accelerometry Cameras Cardiopulmonary resuscitation Cardiopulmonary Resuscitation - instrumentation Cardiopulmonary Resuscitation - methods Cellular telephones CPR Data processing Elbow Emergency Emergency medical care Feedback Female Human health and pathology Humans Life Sciences Male Manikins Motion Patient Positioning Photography Sensors Software Statistical analysis Thorax - physiology |
title | Motion analysis of cardiopulmonary resuscitation |
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