Non-invasive methods in the detection of coronary artery disease
- Publication Type:
- Conference Proceeding
- 26th International Conference on Systems Engineering, ICSEng 2018 - Proceedings, 2019
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© 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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