Rhythm Analysis during Cardiopulmonary Resuscitation Using Convolutional Neural Networks

Rhythm Analysis during Cardiopulmonary Resuscitation Using Convolutional Neural Networks

Chest compressions during cardiopulmonary resuscitation (CPR) induce artifacts in the ECG that may provoque inaccurate rhythm classification by the algorithm of the defibrillator. The objective of this study was to design an algorithm to produce reliable shock/no-shock decisions during CPR using con...

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Bibliographic Details
Main Authors: Iraia Isasi, Unai Irusta, Elisabete Aramendi, Trygve Eftestøl, Jo Kramer-Johansen, Lars Wik
Format: Article
Language:English
Published: MDPI AG 2020-05-01
Series:Entropy
Subjects:
out-of-hospital cardiac arrest (OHCA)
cardiopulmonary resuscitation (CPR)
electrocardiogram (ECG)
adaptive filter
deep learning
machine learning
Online Access:https://www.mdpi.com/1099-4300/22/6/595

Internet

https://www.mdpi.com/1099-4300/22/6/595

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