dc.contributor.author | Ruiz de Gauna Gutiérrez, Sofía | |
dc.contributor.author | Irusta Zarandona, Unai | |
dc.contributor.author | Ruiz Ojeda, Jesús María | |
dc.contributor.author | Ayala Fernández, Unai | |
dc.contributor.author | Aramendi Ecenarro, Elisabete | |
dc.contributor.author | Eftestol, Trygve | |
dc.date.accessioned | 2014-03-31T15:35:09Z | |
dc.date.available | 2014-03-31T15:35:09Z | |
dc.date.issued | 2014-01 | |
dc.identifier.citation | Biomed Research International 2014 : (2014) // Article ID 386010 | es |
dc.identifier.issn | 2314-6133 | |
dc.identifier.uri | http://hdl.handle.net/10810/11880 | |
dc.description.abstract | Survival from out-of-hospital cardiac arrest depends largely on two factors: early cardiopulmonary resuscitation (CPR) and early defibrillation. CPR must be interrupted for a reliable automated rhythm analysis because chest compressions induce artifacts in the ECG. Unfortunately, interrupting CPR adversely affects survival. In the last twenty years, research has been focused on designing methods for analysis of ECG during chest compressions. Most approaches are based either on adaptive filters to remove the CPR artifact or on robust algorithms which directly diagnose the corrupted ECG. In general, all the methods report low specificity values when tested on short ECG segments, but how to evaluate the real impact on CPR delivery of continuous rhythm analysis during CPR is still unknown. Recently, researchers have proposed a new methodology to measure this impact. Moreover, new strategies for fast rhythm analysis during ventilation pauses or high-specificity algorithms have been reported. Our objective is to present a thorough review of the field as the starting point for these late developments and to underline the open questions and future lines of research to be explored in the following years. | es |
dc.description.sponsorship | Supported by the Ministerio de Economia y Competititividad of Spain, through the Projects TEC2012-31144 and TEC2012-31928; from the University of the Basque Country (UPV/EHU) through unit UFI11/16; and from the Programa de Formacion de Personal Investigador del Departamento de Educacion, Universidades e Investigacion del Gobierno Vasco, through the Grant BFI-2010-174. | es |
dc.language.iso | eng | es |
dc.publisher | Hindawi | es |
dc.relation | info:eu-repo/grantAgreement/MINECO/TEC2012-31144 | |
dc.relation | info:eu-repo/grantAgreement/MINECO/TEC2012-31928 | |
dc.rights | info:eu-repo/semantics/openAccess | es |
dc.subject | hospital cardiac arrest | es |
dc.subject | basic life support | es |
dc.subject | ventricular fibrillation ECG | es |
dc.subject | american heart association | es |
dc.subject | automated external defibrillators | es |
dc.subject | emergency cardiovascular care | es |
dc.subject | CPR artifact removal | es |
dc.subject | chest compression | es |
dc.subject | electrocardiographic analysis | es |
dc.subject | countershock success | es |
dc.title | Rhythm Analysis during Cardiopulmonary Resuscitation: Past, Present, and Future | es |
dc.type | info:eu-repo/semantics/article | es |
dc.rights.holder | © 2014 Sofia Ruiz de Gauna et al. 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. | es |
dc.relation.publisherversion | http://www.hindawi.com/journals/bmri/2014/386010/ | es |
dc.identifier.doi | 10.1155/2014/386010 | |
dc.departamentoes | Ingeniería de comunicaciones | es_ES |
dc.departamentoeu | Komunikazioen ingeniaritza | es_ES |