Article

A Comparative Study of Convolutional Neural Network and Recurrent Neural Network models for Analysis of Cardiac Arrest Rhythms during Cardiopulmonary Resuscitation

2024-10-16

Abstract excerpt

<title>Abstract</title> <p><bold>Background: </bold>Accurate and timely cardiac rhythm classification during cardiopulmonary resuscitation (CPR) is crucial for improving outcomes in cardiac arrest patients. This study aimed to develop and evaluate deep learning models for real-time rhythm classification during ongoing CPR. <bold>Methods: </bold>We analyzed 508 ECG segments from 131 cardiac arrest patients, includ...

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Literature Corpus work: 090bc605-7c79-54d4-9263-3db952f14d9c
DOI: 10.21203/rs.3.rs-4941076/v1

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