Literature DB >> 22001002

The use of dual accelerometers improves measurement of chest compression depth.

Jaehoon Oh1, Yeongtak Song, Boseung Kang, Hyunggoo Kang, Taeho Lim, Youngsoo Suh, Youngjoon Chee.   

Abstract

BACKGROUND: Chest compression (CC) feedback devices are used to perform CC measurements effectively and accurately on patients in hospital beds. However, these devices do not take account of the compression of the mattress, which results in overestimation of CC depth. In this study, we propose a new method using two accelerometers to overcome this limitation and thus measure compression depth more accurately when performing cardiopulmonary resuscitation (CPR) on patients.
METHOD: One accelerometer was placed on the manikin's sternum (a1), and the other between the manikin's back and the mattress (a2). The compression depth was calculated by integrating the acceleration twice using a digital signal processing technique. We compared CC depth from dual accelerometers and single accelerometer (a1) on the foam and inflated air mattress with eight CPR providers. RESULT: When CC was done on a manikin lying on the floor, there was no significant difference between measurement techniques (p>0.05). When CC was done on a manikin lying on the foam and inflated air mattress supporting system, our method significantly improved the estimation of CC depth, irrespective of the presence or absence of a backboard (p<0.001).
CONCLUSION: Measuring CC depth using two accelerometers is more effective than using one in increasing the accuracy of CC depth estimation when CPR is performed on the foam and inflated air mattress, regardless of the presence or absence of a backboard. Copyright Â
© 2011 Elsevier Ireland Ltd. All rights reserved.

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Year:  2011        PMID: 22001002     DOI: 10.1016/j.resuscitation.2011.09.028

Source DB:  PubMed          Journal:  Resuscitation        ISSN: 0300-9572            Impact factor:   5.262


  14 in total

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Authors:  Yeongtak Song; Jaehoon Oh; Youngjoon Chee
Journal:  Telemed J E Health       Date:  2014-11-17       Impact factor: 3.536

2.  Effect of metronome guidance on infant cardiopulmonary resuscitation.

Authors:  Chan Woong Kim; Je Hyeok Oh
Journal:  Eur J Pediatr       Date:  2019-03-08       Impact factor: 3.183

3.  Telemedical Intensivist Consultation During In-Hospital Cardiac Arrest Resuscitation: A Simulation-Based, Randomized Controlled Trial.

Authors:  Ithan D Peltan; David Guidry; Katie Brown; Naresh Kumar; William Beninati; Samuel M Brown
Journal:  Chest       Date:  2022-01-19       Impact factor: 10.262

4.  A Feasibility Study for Measuring Accurate Chest Compression Depth and Rate on Soft Surfaces Using Two Accelerometers and Spectral Analysis.

Authors:  Sofía Ruiz de Gauna; Digna M González-Otero; Jesus Ruiz; J J Gutiérrez; James K Russell
Journal:  Biomed Res Int       Date:  2016-11-24       Impact factor: 3.411

5.  Detection of spontaneous pulse using the acceleration signals acquired from CPR feedback sensor in a porcine model of cardiac arrest.

Authors:  Liang Wei; Gang Chen; Zhengfei Yang; Tao Yu; Weilun Quan; Yongqin Li
Journal:  PLoS One       Date:  2017-12-08       Impact factor: 3.240

6.  Adult Basic Life Support: International Consensus on Cardiopulmonary Resuscitation and Emergency Cardiovascular Care Science With Treatment Recommendations.

Authors:  Theresa M Olasveengen; Mary E Mancini; Gavin D Perkins; Suzanne Avis; Steven Brooks; Maaret Castrén; Sung Phil Chung; Julie Considine; Keith Couper; Raffo Escalante; Tetsuo Hatanaka; Kevin K C Hung; Peter Kudenchuk; Swee Han Lim; Chika Nishiyama; Giuseppe Ristagno; Federico Semeraro; Christopher M Smith; Michael A Smyth; Christian Vaillancourt; Jerry P Nolan; Mary Fran Hazinski; Peter T Morley
Journal:  Resuscitation       Date:  2020-10-21       Impact factor: 5.262

7.  Use of backboard and deflation improve quality of chest compression when cardiopulmonary resuscitation is performed on a typical air inflated mattress configuration.

Authors:  Jaehoon Oh; Hyunggoo Kang; Youngjoon Chee; Taeho Lim; Yeongtak Song; Youngsuk Cho; Sangmo Je
Journal:  J Korean Med Sci       Date:  2013-01-29       Impact factor: 2.153

8.  A new method for feedback on the quality of chest compressions during cardiopulmonary resuscitation.

Authors:  Digna M González-Otero; Jesus Ruiz; Sofía Ruiz de Gauna; Unai Irusta; Unai Ayala; Erik Alonso
Journal:  Biomed Res Int       Date:  2014-08-28       Impact factor: 3.411

9.  Training a Chest Compression of 6-7 cm Depth for High Quality Cardiopulmonary Resuscitation in Hospital Setting: A Randomised Controlled Trial.

Authors:  Jaehoon Oh; Tae Ho Lim; Youngsuk Cho; Hyunggoo Kang; Wonhee Kim; Youngjoon Chee; Yeongtak Song; In Young Kim; Juncheol Lee
Journal:  Yonsei Med J       Date:  2016-03       Impact factor: 2.759

10.  Do automated real-time feedback devices improve CPR quality? A systematic review of literature.

Authors:  Debora Gugelmin-Almeida; Lucia Tobase; Thatiane Facholi Polastri; Heloisa Helena Ciqueto Peres; Sergio Timerman
Journal:  Resusc Plus       Date:  2021-03-27
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