A New Automatic Identification Method of Heart Failure Using Improved Support Vector Machine Based on Duality Optimization Technique

A New Automatic Identification Method of Heart Failure Using Improved Support Vector Machine Based on Duality Optimization Technique

Currently, Heart failure disease is considered a multifaceted clinical disease affecting millions of people worldwide. Hospitals and cardiac centers rely heavily on ECG as a regular tool for evaluating and diagnosing Heart failure disease as an initial stage. The process of Heart failure disease ide...

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Bibliographic Details
Main Authors: Gamal G. N. Geweid, Mahmoud A. Abdallah
Format: Article
Language:English
Published: IEEE 2019-01-01
Series:IEEE Access
Subjects:
Heart failure disease (HFD)
ECG
support vector machine (SVM)
nonparametric algorithm
duality
Online Access:https://ieeexplore.ieee.org/document/8859182/

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