Automated Diagnosis of Coronary Artery Disease: A Review and Workflow
Coronary artery disease (CAD) is the most dangerous heart disease which may lead to sudden cardiac death. However, CAD diagnoses are quite expensive and time-consuming procedures which a patient need to go through. The aim of our paper is to present a unique review of state-of-the-art methods up to...
Main Authors: | Qurat-ul-ain Mastoi, Teh Ying Wah, Ram Gopal Raj, Uzair Iqbal |
---|---|
Format: | Article |
Language: | English |
Published: |
Hindawi Limited
2018-01-01
|
Series: | Cardiology Research and Practice |
Online Access: | http://dx.doi.org/10.1155/2018/2016282 |
Similar Items
-
Reservoir Computing Based Echo State Networks for Ventricular Heart Beat Classification
by: Qurat-ul-ain Mastoi, et al.
Published: (2019-02-01) -
Usage of Model Driven Environment for the Classification of ECG features: A Systematic Review
by: Uzair Iqbal, et al.
Published: (2018-01-01) -
A Novel Cost-Efficient Framework for Critical Heartbeat Task Scheduling Using the Internet of Medical Things in a Fog Cloud System
by: Qurat-ul-ain Mastoi, et al.
Published: (2020-01-01) -
Advances in Optical Aptasensors for Early Detection and Diagnosis of Various Cancer Types
by: Qurat ul ain Zahra, et al.
Published: (2021-02-01) -
WORKFLOW AUTOMATION WITH POSTGIS TOPOLOGY
by: Anders Møller Jacobsen
Published: (2018-01-01)