Predicting defibrillation success in out-of-hospital cardiac arrested patients: Moving beyond feature design-Reference-Cited by-同舟云学术

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Predicting defibrillation success in out-of-hospital cardiac arrested patients: Moving beyond feature design

Published:2020-11 Issue: Volume:110 Page:101963
ISSN:0933-3657
Container-title:Artificial Intelligence in Medicine
language:en
Short-container-title:Artificial Intelligence in Medicine

Author:

Ivanović Marija D.,Hannink Julius,Ring Matthias,Baronio Fabio,Vukčević Vladan,Hadžievski Ljupco,Eskofier Bjoern

Funder

European Union’s Horizon 2020

Ministry of Education, Science and Technological Development of Serbia

German Research Foundation

Federal Ministry of Education and Research of Germany

Publisher

Elsevier BV

Subject

Artificial Intelligence,Medicine (miscellaneous)

Reference65 articles.

1. Delaying defibrillation to give basic cardiopulmonary resuscitation to patients with out-of-hospital ventricular fibrillation: a randomize trial;Wik;JAMA,2003

2. Outcomes of rapid defibrillation by security officers after cardiac arrest in casinos;Valenzuela;N Engl J Med,2000

3. A composite model of survival from out-of-hospital cardiac arrest using the Cardiac Arrest Registry to Enhance Survival (CARES);Abrams;Resuscitation,2013

4. Trends in survival after in-hospital cardiac arrest;Girotra;N Engl J Med,2012

5. High discharge survival rate after our-of-hospital ventricular fibrillation with rapid defibrillation by police and paramedics;White;Ann Emerg Med,1996

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1. Prediction of the effect of electrical defibrillation by using spectral feature parameters;Computers in Biology and Medicine;2024-11

2. Temporal Analysis of ECG Characteristics for Predicting Defibrillation Success in Ventricular Fibrillation During Resuscitation;2024 21st International Conference on Electrical Engineering/Electronics, Computer, Telecommunications and Information Technology (ECTI-CON);2024-05-27

3. Pre-Processing techniques and artificial intelligence algorithms for electrocardiogram (ECG) signals analysis: A comprehensive review;Computers in Biology and Medicine;2024-03

4. Artificial intelligence to support out-of-hospital cardiac arrest care: A scoping review;Resuscitation Plus;2023-12

5. Artificial intelligence and machine learning in prehospital emergency care: A scoping review;iScience;2023-08

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