A new way to analyze resuscitation quality by reviewing automatic external defibrillator data

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Title:	A new way to analyze resuscitation quality by reviewing automatic external defibrillator data
Authors:	林澂;Lin, Lian-Yu;Lo, Men-Tzung;Chiang, Wen-Chu;Lin, Chen;Ko, Patrick Chow-In;Hsiung, Kuang-Hua;Lin, Jiunn-Lee;Chen, Wen-Jone;Ma, Matthew Huei-Ming
Contributors:	生醫理工學院生醫科學與工程學系
Keywords:	Adult;Aged;Aged, 80 and over;Algorithms;Auto-correlation function;Automated external defibrillator;Automation;Cardiopulmonary resuscitation;Cardiopulmonary Resuscitation - instrumentation;Cardiopulmonary Resuscitation - standards;Defibrillators - standards;Electrocardiography - methods;Emergency;Emergency Medical Services - methods;Empirical mode decomposition;Female;Heart Arrest - etiology;Heart Arrest - therapy;Humans;Male;Middle Aged;Out-of-hospital cardiac arrest;Quality Assurance, Health Care;Ventricular Fibrillation - complications;Ventricular Fibrillation - diagnosis
Date:	2012-02-01
Issue Date:	2026-04-23 11:14:50 (UTC+8)
Publisher:	Elsevier Ireland Ltd;Ireland: Elsevier Ireland Ltd
Abstract:	摘要： High quality cardiopulmonary resuscitation (CPR) plays an important role in survival of out-of-hospital cardiac arrests (OHCAs). We have developed an algorithm to automatically identify the quality of chest compressions from data retrieved from automatic external defibrillators (AEDs). Electrocardiographic (ECG) signals retrieved from AEDs were analyzed by a newly developed algorithm to identify fluctuations in CPR. The algorithm contained three steps. First, it decomposed the AED signals into several intrinsic mode fluctuations (IMFs) by empirical mode decomposition (EMD). Second, it identified the dominant IMFs that carried the chest compression signals and weighted the IMFs to both enhance the chest compression oscillations and filter the noise. Third, it calculated the autocorrelation function (ACF) of the reconstructed signals and tested their periodicity. Using this algorithm, several CPR quality indicators were automatically calculated minute-by-minute and compared with those derived by audio and visual review of AED data by experienced physicians. A total of 77 (29 women, 48 men) OHCA patients were enrolled, and 351 one-min segments were analyzed. The results showed that the CPR quality parameters calculated from the algorithm were highly correlated with those from the manual review (all P<0.001). The limits of agreement by Bland–Altman analysis were acceptable for chest compression number, total flow time, and no flow time, but not for CPR rate. We also demonstrated that only 41.8±29.8% of time was spent in chest compressions and only 7.5±16.8% was spent in adequate chest compressions. Our results demonstrated that several indicators of CPR quality can be precisely and automatically determined by analyzing the ECG signals from AEDs using EMD and autocorrelograms. 其他題名： Resuscitation 出版者： Ireland: Elsevier Ireland Ltd 出版日期： 2012-02-01 出處： Resuscitation, 2012-02, Vol.83 (2), p.171-176 版權： 2011 Elsevier Ireland Ltd 版權： Elsevier Ireland Ltd 版權： Copyright © 2011 Elsevier Ireland Ltd. All rights reserved. 識別號： ISSN: 0300-9572 識別號： ISSN: 1873-1570 識別號： EISSN: 1873-1570 識別號： DOI: 10.1016/j.resuscitation.2011.10.025 識別號： PMID: 22063728
Appears in Collections:	[Department of Biomedical Sciences and Engineering ] journal & Dissertation

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