ECG waveform dataset for predicting defibrillation outcome in out-of-hospital cardiac arrested patients-Reference-Cited by-同舟云学术

ECG waveform dataset for predicting defibrillation outcome in out-of-hospital cardiac arrested patients

Published:2021-02 Issue: Volume:34 Page:106635
ISSN:2352-3409
Container-title:Data in Brief
language:en
Short-container-title:Data in Brief

Author:

Benini Sergio,Ivanovic Marija D.,Savardi Mattia,Krsic Jelena,Hadžievski Ljupco,Baronio Fabio

Funder

Horizon 2020

H2020 Marie Skłodowska-Curie Actions

Ministarstvo Prosvete, Nauke i Tehnološkog Razvoja

Publisher

Elsevier BV

Subject

Multidisciplinary

Reference13 articles.

1. European resuscitation council guidelines for resuscitation 2005. Electrical therapies: automated external defibrillators, defibrillation, cardioversion and pacing;Deakin;Resuscitation,2005

2. 2018. ECG derived feature combination versus single feature in predicting defibrillation success in out-of-hospital cardiac arrested patients. 2018;Ivanović;Biomed. Phys. Eng. Express,2019

3. Predicting defibrillation success in out-of-hospital cardiac arrested patients: moving beyond feature design;Ivanović;Under Rev. Artif. Intell. Med.,2019

4. Findgraph, Curve Fitting Software FindGraph. http://www.findgraph.com (accessed 13 February 2020), 2020.

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1. 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

2. Optimizing defibrillation during cardiac arrest;Current Opinion in Critical Care;2021-03-31