Deep Neural Networks for ECG-Based Pulse Detection during Out-of-Hospital Cardiac Arrest

Deep Neural Networks for ECG-Based Pulse Detection during Out-of-Hospital Cardiac Arrest

The automatic detection of pulse during out-of-hospital cardiac arrest (OHCA) is necessary for the early recognition of the arrest and the detection of return of spontaneous circulation (end of the arrest). The only signal available in every single defibrillator and valid for the detection of pulse...

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Bibliographic Details
Main Authors: Andoni Elola, Elisabete Aramendi, Unai Irusta, Artzai Picón, Erik Alonso, Pamela Owens, Ahamed Idris
Format: Article
Language:English
Published: MDPI AG 2019-03-01
Series:Entropy
Subjects:
pulse detection
ECG
pulseless electrical activity
out-of-hospital cardiac arrest
convolutional neural network
deep learning
Bayesian optimization
Online Access:https://www.mdpi.com/1099-4300/21/3/305

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https://www.mdpi.com/1099-4300/21/3/305

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