Non-linear dynamical signal characterization for prediction of defibrillation success through machine learning

Non-linear dynamical signal characterization for prediction of defibrillation success through machine learning

<p>Abstract</p> <p>Background</p> <p>Ventricular Fibrillation (VF) is a common presenting dysrhythmia in the setting of cardiac arrest whose main treatment is defibrillation through direct current countershock to achieve return of spontaneous circulation. However, often...

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Bibliographic Details
Main Authors: Shandilya Sharad, Ward Kevin, Kurz Michael, Najarian Kayvan
Format: Article
Language:English
Published: BMC 2012-10-01
Series:BMC Medical Informatics and Decision Making
Subjects:
Cardiac arrest
Resuscitation
Ventricular fibrillation
CPR
Defibrillation success
Shock outcome
Complex wavelet transform
Non-linear analysis
Time-series analysis
Signal decomposition
Feature selection
Online Access:http://www.biomedcentral.com/1472-6947/12/116

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http://www.biomedcentral.com/1472-6947/12/116

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