A new method to estimate the amplitude spectrum analysis of ventricular fibrillation during cardiopulmonary resuscitation

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Title:	A new method to estimate the amplitude spectrum analysis of ventricular fibrillation during cardiopulmonary resuscitation
Authors:	林澂;Lo, Men-Tzung;Lin, Lian-Yu;Hsieh, Wan-Hsin;Ko, Patrick Chow-In;Liu, Yen-Bin;Lin, Chen;Chang, Yi-Chung;Wang, Cheng-Yen;Young, Vincent Hsu-Wen;Chiang, Wen-Chu;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:	Algorithms;Amplitude spectrum analysis;Automated external defibrillator;Cardiopulmonary Resuscitation - methods;Electrocardiography;Emergency;Empirical mode decomposition;Humans;Least mean square;Ventricular fibrillation;Ventricular Fibrillation - physiopathology
Date:	2013-11-01
Issue Date:	2026-04-23 11:14:49 (UTC+8)
Publisher:	Ireland: Elsevier Ireland Ltd
Abstract:	摘要： Accurate ventricular fibrillation (VF) waveform analysis usually requires rescuers to discontinue cardiopulmonary resuscitation (CPR). However, prolonged “hands-off” time has a deleterious impact on the outcome. We developed a new filter technique that could clean the CPR artifacts and help preserve the shockability index of VF We analyzed corrupted ECGs, which were constructed by randomly adding different scaled CPR artifacts to the VF waveforms. A newly developed algorithm was used to identify the CPR fluctuations. The algorithm contained two steps. First, decomposing the raw data by empirical mode decomposition (EMD) into several intrinsic mode fluctuations (IMFs) and combining the dominant IMFs to reconstruct a new signal. Second, calculating each CPR cycle frequency from the new signal and fitting the new signal to the original corrupted ECG by least square mean (LSM) method to derive the CPR artifacts. The estimated VF waveform was derived by subtraction of the CPR artifacts from the corrupted ECG. We then performed amplitude spectrum analysis (AMSA) for original VF, corrupted ECG and estimated VF. A total of 150 OHCA subjects with initial VF rhythm were included for analysis. Ten CPR artifacts signals were used to construct corrupted ECG. Even though the correlations of AMSA between the corrupted ECG vs. the original VF and the estimated VF vs. the original VF are all high (all p<0.001), the values of AMSA were obviously biased in corrupted ECG with wide limits of agreement in Bland–Altman mean-difference plot. ROC analysis of the AMSA in the prediction of defibrillation success showed that the new algorithm could preserve the cut-off AMSA value for CPR artifacts with power ratio to VF from 0 to 6dB. The new algorithm could efficiently filter the CPR-related artifacts of the VF ECG and preserve the shockability index of the original VF waveform. 其他題名： Resuscitation 出版者： Ireland: Elsevier Ireland Ltd 出版日期： 2013-11-01 出處： Resuscitation, 2013-11, Vol.84 (11), p.1505-1511 版權： 2013 Elsevier Ireland Ltd 版權： Elsevier Ireland Ltd 版權： Copyright © 2013 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.2013.07.004 識別號： PMID: 23851191
Appears in Collections:	[Department of Biomedical Sciences and Engineering ] journal & Dissertation

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