Non-invasive methods in the detection of coronary artery disease

More, FJ; Chaczko, Z

Non-invasive methods in the detection of coronary artery disease

More, FJ Chaczko, Z

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Publication Type:: Conference Proceeding
Citation:: 26th International Conference on Systems Engineering, ICSEng 2018 - Proceedings, 2019
Issue Date:: 2019-02-08

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Field	Value	Language
dc.contributor.author	More, FJ	en_US
dc.contributor.author	Chaczko, Z https://orcid.org/0000-0002-2816-7510	en_US
dc.date.issued	2019-02-08	en_US
dc.identifier.citation	26th International Conference on Systems Engineering, ICSEng 2018 - Proceedings, 2019	en_US
dc.identifier.isbn	9781538678343	en_US
dc.identifier.uri	http://hdl.handle.net/10453/130668
dc.description.abstract	© 2018 IEEE. Coronary Artery Disease (CAD) is the prime causal factor in cardiovascular disease in the 21st century throughout the world. In Australia, CAD related diseases result in 12% morbidity and mortality rate. This paper summarizes the noninvasive methods of diagnosis of CAD. The association between medical science and biomedical engineering has led to the development of non-invasive methods of diagnosis of CAD. The use of new technology that exploits IoT and Body Area Networks using wearable sensor devices over the patient's body and medical experts to diagnose CAD. Progression of clinical assessment, diagnosis, and evaluation of CAD have been achieved in the last decade. The current treatment plan for CAD focused on clinical prevention, surgical or a combination of both depending on the severity of disease. The analysis of coronary artery disease, chest pain, and various things involved in the assessment of patient's history with relieving factors such as risk stratification and non-invasive tests used in diagnosis of CAD.	en_US
dc.relation.ispartof	26th International Conference on Systems Engineering, ICSEng 2018 - Proceedings	en_US
dc.relation.isbasedon	10.1109/ICSENG.2018.8638017	en_US
dc.rights	info:eu-repo/semantics/closedAccess
dc.title	Non-invasive methods in the detection of coronary artery disease	en_US
dc.type	Conference Proceeding
utslib.for	0806 Information Systems	en_US
pubs.embargo.period	Not known	en_US
pubs.organisational-group	/University of Technology Sydney
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology/School of Electrical and Data Engineering
pubs.organisational-group	/University of Technology Sydney/Strength - GBDTC - Global Big Data Technologies
pubs.organisational-group	/University of Technology Sydney/Strength - INEXT - Innovation in IT Services and Applications
pubs.organisational-group	/University of Technology Sydney/Students
utslib.copyright.status	closed_access	*
pubs.publication-status	Published	en_US

Abstract:

© 2018 IEEE. Coronary Artery Disease (CAD) is the prime causal factor in cardiovascular disease in the 21st century throughout the world. In Australia, CAD related diseases result in 12% morbidity and mortality rate. This paper summarizes the noninvasive methods of diagnosis of CAD. The association between medical science and biomedical engineering has led to the development of non-invasive methods of diagnosis of CAD. The use of new technology that exploits IoT and Body Area Networks using wearable sensor devices over the patient's body and medical experts to diagnose CAD. Progression of clinical assessment, diagnosis, and evaluation of CAD have been achieved in the last decade. The current treatment plan for CAD focused on clinical prevention, surgical or a combination of both depending on the severity of disease. The analysis of coronary artery disease, chest pain, and various things involved in the assessment of patient's history with relieving factors such as risk stratification and non-invasive tests used in diagnosis of CAD.

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http://hdl.handle.net/10453/130668