Usage of Model Driven Environment for the Classification of ECG features: A Systematic Review

Usage of Model Driven Environment for the Classification of ECG features: A Systematic Review

Electrocardiography (ECG) constitutes a perfect and primary diagnostic tool for measuring the different morbidity conditions of the heart in the context of different heart diseases and arrhythmia. Various studies have proposed different techniques of classification of ECG features and defined the pa...

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Bibliographic Details
Main Authors: Uzair Iqbal, Teh Ying Wah, Muhammad Habib Ur Rehman, Qurat-Ul-Ain Mastoi
Format: Article
Language:English
Published: IEEE 2018-01-01
Series:IEEE Access
Subjects:
Software metrics
classification algorithms
electrocardiography
model driven environment
Online Access:https://ieeexplore.ieee.org/document/8352744/

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