Shock Decision Algorithms for Automated External Defibrillators Based on Convolutional Networks

Shock Decision Algorithms for Automated External Defibrillators Based on Convolutional Networks

Automated External Defibrillators (AED) incorporate a shock decision algorithm that analyzes the patient's electrocardiogram (EKG), allowing lay persons to provide life saving defibrillation therapy to out-of-hospital cardiac arrest (OHCA) patients. The most accurate shock decision algorithms a...

Full description

Bibliographic Details
Main Authors: Xabier Jaureguibeitia, Gorka Zubia, Unai Irusta, Elisabete Aramendi, Beatriz Chicote, Daniel Alonso, Andima Larrea, Carlos Corcuera
Format: Article
Language:English
Published: IEEE 2020-01-01
Series:IEEE Access
Subjects:
Automated external defibrillator (AED)
electrocardiogram (EKG)
convolutional neural networks (CNN)
deep learning
ventricular fibrillation (VF)
residual networks
Online Access:https://ieeexplore.ieee.org/document/9174724/

Internet

https://ieeexplore.ieee.org/document/9174724/

Similar Items