An Automated Strategy for Early Risk Identification of Sudden Cardiac Death by Using Machine Learning Approach on Measurable Arrhythmic Risk Markers

An Automated Strategy for Early Risk Identification of Sudden Cardiac Death by Using Machine Learning Approach on Measurable Arrhythmic Risk Markers

Early risk identification of an unexpected sudden cardiac death (SCD) in a person who is suffering malignant ventricular arrhythmias is highly significant for timely intervention and increasing the survival rate. For this purpose, we have presented an automated strategy for prediction of SCD with a...

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Bibliographic Details
Main Authors: Dakun Lai, Yifei Zhang, Xinshu Zhang, Ye Su, Md Belal Bin Heyat
Format: Article
Language:English
Published: IEEE 2019-01-01
Series:IEEE Access
Subjects:
Arrhythmic risk markers
electrocardiogram (ECG)
machine learning
sudden cardiac death (SCD)
SCD prediction
Online Access:https://ieeexplore.ieee.org/document/8751970/

Internet

https://ieeexplore.ieee.org/document/8751970/

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