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Machine Learning Techniques for the Detection of Shockable Rhythms in Automated External Defibrillators
(Public Library Science, 2016-07-21)
Early recognition of ventricular fibrillation (VF) and electrical therapy are key for the survival of out-of-hospital cardiac arrest (OHCA) patients treated with automated external defibrillators (AED). AED algorithms for ...
Rhythm Analysis during Cardiopulmonary Resuscitation Using Convolutional Neural Networks
(MDPI, 2020-05-27)
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 ...
Multimodal Algorithms for the Classification of Circulation States during Out-of-Hospital Cardiac Arrest
(IEEE, 2020-10-12)
Goal: Identifying the circulation state during
out-of-hospital cardiac arrest (OHCA) is essential to determine
what life-saving therapies to apply. Currently algorithms
discriminate circulation (pulsed rhythms, PR) from ...