ECG-Based Classification of Resuscitation Cardiac Rhythms for Retrospective Data Analysis

Objective: There is a need to monitor the heart rhythm in resuscitation to improve treatment quality. Resuscitation rhythms are categorized into: ventricular tachycardia (VT), ventricular fibrillation (VF), pulseless electrical activity (PEA), asystole (AS), and pulse-generating rhythm (PR). Manual...

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Veröffentlicht in:	IEEE transactions on biomedical engineering Jg. 64; H. 10; S. 2411 - 2418
Hauptverfasser:	Rad, Ali Bahrami, Eftestol, Trygve, Engan, Kjersti, Irusta, Unai, Kvaloy, Jan Terje, Kramer-Johansen, Jo, Wik, Lars, Katsaggelos, Aggelos K.
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	United States IEEE 01.10.2017 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Schlagworte:	Algorithm design and analysis Algorithms Annotations Arrhythmias, Cardiac - diagnosis Arrhythmias, Cardiac - therapy Artificial neural networks Back propagation Bayesian analysis Cardiac arrest cardiac rhythm classification Cardiopulmonary resuscitation Cardiopulmonary Resuscitation - methods Classification Classifiers CPR Data analysis Data processing Decision theory Decision trees Diagnosis, Computer-Assisted - methods EKG Electric shock Electrocardiography Electrocardiography - classification Electrocardiography - methods Feature extraction feature extraction/selection Fibrillation Heart Heart beat Humans Hyperplanes nested cross-validation Neural networks Neural Networks (Computer) Pattern Recognition, Automated - methods Regularization Reproducibility of Results Resuscitation Retrospective Studies Rhythm Sensitivity and Specificity Tachycardia Therapy, Computer-Assisted - methods Ventricle Ventricular fibrillation Wavelet analysis
ISSN:	0018-9294, 1558-2531, 1558-2531
Online-Zugang:	Volltext
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