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A Reliable Method for Rhythm Analysis during Cardiopulmonary Resuscitation

Interruptions in cardiopulmonary resuscitation (CPR) compromise defibrillation success. However, CPR must be interrupted to analyze the rhythm because although current methods for rhythm analysis during CPR have high sensitivity for shockable rhythms, the specificity for nonshockable rhythms is stil...

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Detalles Bibliográficos
Autores principales: Ayala, U., Irusta, U., Ruiz, J., Eftestøl, T., Kramer-Johansen, J., Alonso-Atienza, F., Alonso, E., González-Otero, D.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Hindawi Publishing Corporation 2014
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4033593/
https://www.ncbi.nlm.nih.gov/pubmed/24895621
http://dx.doi.org/10.1155/2014/872470
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author Ayala, U.
Irusta, U.
Ruiz, J.
Eftestøl, T.
Kramer-Johansen, J.
Alonso-Atienza, F.
Alonso, E.
González-Otero, D.
author_facet Ayala, U.
Irusta, U.
Ruiz, J.
Eftestøl, T.
Kramer-Johansen, J.
Alonso-Atienza, F.
Alonso, E.
González-Otero, D.
author_sort Ayala, U.
collection PubMed
description Interruptions in cardiopulmonary resuscitation (CPR) compromise defibrillation success. However, CPR must be interrupted to analyze the rhythm because although current methods for rhythm analysis during CPR have high sensitivity for shockable rhythms, the specificity for nonshockable rhythms is still too low. This paper introduces a new approach to rhythm analysis during CPR that combines two strategies: a state-of-the-art CPR artifact suppression filter and a shock advice algorithm (SAA) designed to optimally classify the filtered signal. Emphasis is on designing an algorithm with high specificity. The SAA includes a detector for low electrical activity rhythms to increase the specificity, and a shock/no-shock decision algorithm based on a support vector machine classifier using slope and frequency features. For this study, 1185 shockable and 6482 nonshockable 9-s segments corrupted by CPR artifacts were obtained from 247 patients suffering out-of-hospital cardiac arrest. The segments were split into a training and a test set. For the test set, the sensitivity and specificity for rhythm analysis during CPR were 91.0% and 96.6%, respectively. This new approach shows an important increase in specificity without compromising the sensitivity when compared to previous studies.
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spelling pubmed-40335932014-06-03 A Reliable Method for Rhythm Analysis during Cardiopulmonary Resuscitation Ayala, U. Irusta, U. Ruiz, J. Eftestøl, T. Kramer-Johansen, J. Alonso-Atienza, F. Alonso, E. González-Otero, D. Biomed Res Int Research Article Interruptions in cardiopulmonary resuscitation (CPR) compromise defibrillation success. However, CPR must be interrupted to analyze the rhythm because although current methods for rhythm analysis during CPR have high sensitivity for shockable rhythms, the specificity for nonshockable rhythms is still too low. This paper introduces a new approach to rhythm analysis during CPR that combines two strategies: a state-of-the-art CPR artifact suppression filter and a shock advice algorithm (SAA) designed to optimally classify the filtered signal. Emphasis is on designing an algorithm with high specificity. The SAA includes a detector for low electrical activity rhythms to increase the specificity, and a shock/no-shock decision algorithm based on a support vector machine classifier using slope and frequency features. For this study, 1185 shockable and 6482 nonshockable 9-s segments corrupted by CPR artifacts were obtained from 247 patients suffering out-of-hospital cardiac arrest. The segments were split into a training and a test set. For the test set, the sensitivity and specificity for rhythm analysis during CPR were 91.0% and 96.6%, respectively. This new approach shows an important increase in specificity without compromising the sensitivity when compared to previous studies. Hindawi Publishing Corporation 2014 2014-05-07 /pmc/articles/PMC4033593/ /pubmed/24895621 http://dx.doi.org/10.1155/2014/872470 Text en Copyright © 2014 U. Ayala et al. https://creativecommons.org/licenses/by/3.0/ This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Research Article
Ayala, U.
Irusta, U.
Ruiz, J.
Eftestøl, T.
Kramer-Johansen, J.
Alonso-Atienza, F.
Alonso, E.
González-Otero, D.
A Reliable Method for Rhythm Analysis during Cardiopulmonary Resuscitation
title A Reliable Method for Rhythm Analysis during Cardiopulmonary Resuscitation
title_full A Reliable Method for Rhythm Analysis during Cardiopulmonary Resuscitation
title_fullStr A Reliable Method for Rhythm Analysis during Cardiopulmonary Resuscitation
title_full_unstemmed A Reliable Method for Rhythm Analysis during Cardiopulmonary Resuscitation
title_short A Reliable Method for Rhythm Analysis during Cardiopulmonary Resuscitation
title_sort reliable method for rhythm analysis during cardiopulmonary resuscitation
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4033593/
https://www.ncbi.nlm.nih.gov/pubmed/24895621
http://dx.doi.org/10.1155/2014/872470
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