Improved prediction of defibrillation success for out-of-hospital VF cardiac arrest using wavelet transform methods-Reference-Cited by-同舟云学术

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Improved prediction of defibrillation success for out-of-hospital VF cardiac arrest using wavelet transform methods

Published:2004-12 Issue:3 Volume:63 Page:269-275
ISSN:0300-9572
Container-title:Resuscitation
language:en
Short-container-title:Resuscitation

Author:

Watson James N.,Uchaipichat Nopadol,Addison Paul S.,Clegg Gareth R.,Robertson Colin E.,Eftestol Trygve,Steen Petter A.

Publisher

Elsevier BV

Subject

Cardiology and Cardiovascular Medicine,Emergency,Emergency Medicine

Reference25 articles.

1. Electrocardiographic and clinical criteria for recognition of acute myocardial infarction based on analysis of 3,697 patients;Rude;Am. J. Cardiol.,1983

2. Amplitude of ventricular fibrillation waveform and outcome after cardiac arrest;Weaver;Ann. Intern. Med.,1985

3. Ventricular fibrillation amplitude predicts ability to defibrillate;Stutts;Am. J. Emerg. Med.,1986

4. Ewy GA, Dahl CF, Zimmerman et al. VF masquerading as ventricular standstill. Crit Care Med 1981;9:392.

5. Ventricular fibrillation: the importance of being coarse;Jones;J. Electrocardiol.,1984

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3. Predicting defibrillation success in out-of-hospital cardiac arrested patients: Moving beyond feature design;Artificial Intelligence in Medicine;2020-11

4. ECG derived feature combination versus single feature in predicting defibrillation success in out-of-hospital cardiac arrested patients;Biomedical Physics & Engineering Express;2018-11-08

5. Fuzzy and Sample Entropies as Predictors of Patient Survival Using Short Ventricular Fibrillation Recordings during out of Hospital Cardiac Arrest;Entropy;2018-08-09

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