A Machine Learning Framework for Pulse Detection During Out-of-Hospital Cardiac Arrest

A Machine Learning Framework for Pulse Detection During Out-of-Hospital Cardiac Arrest

The availability of an automatic pulse detection during out-of-hospital cardiac arrest (OHCA) would allow the rapid identification of cardiac arrest and the prompt detection of return of spontaneous circulation. The aim of this study was to develop a reliable pulse detection algorithm using the elec...

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Bibliographic Details
Main Authors: Erik Alonso, Unai Irusta, Elisabete Aramendi, Mohamud R. Daya
Format: Article
Language:English
Published: IEEE 2020-01-01
Series:IEEE Access
Subjects:
Machine learning
adaptive filtering
stationary wavelet transform (SWT)
support vector machine (SVM)
out-of-hospital cardiac arrest (OHCA)
thoracic impedance
Online Access:https://ieeexplore.ieee.org/document/9184797/

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https://ieeexplore.ieee.org/document/9184797/

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