Automated Method for Discrimination of Arrhythmias Using Time, Frequency, and Nonlinear Features of Electrocardiogram Signals

Automated Method for Discrimination of Arrhythmias Using Time, Frequency, and Nonlinear Features of Electrocardiogram Signals

We developed an automated approach to differentiate between different types of arrhythmic episodes in electrocardiogram (ECG) signals, because, in real-life scenarios, a software application does not know in advance the type of arrhythmia a patient experiences. Our approach has four main stages: (1)...

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Bibliographic Details
Main Authors: Shirin Hajeb-Mohammadalipour, Mohsen Ahmadi, Reza Shahghadami, Ki H. Chon
Format: Article
Language:English
Published: MDPI AG 2018-06-01
Series:Sensors
Subjects:
automated arrhythmia classification
electrocardiography
health monitoring system
premature ventricular contraction
ventricular fibrillation
atrial fibrillation
Online Access:http://www.mdpi.com/1424-8220/18/7/2090

Internet

http://www.mdpi.com/1424-8220/18/7/2090

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