Cardiac health diagnosis using data fusion of cardiovascular and haemodynamic signals

Computer Methods and Programs in Biomedicine
N KannathalSwamy Laxminarayan

Abstract

The electrocardiogram (ECG) is a representative signal containing useful information about the condition of the heart. The shape and size of the P-QRS-T wave, the r-r interval, etc., may help to identify the nature of disease afflicting the heart. However, human observer cannot directly monitor these subtle details and it is difficult to evaluate the cardiac health using ECG alone. Hence, the fusion of ECG, blood pressure, saturated oxygen content and respiratory data for achieving improved clinical diagnosis of patients in cardiac care units. In this study, a computer based analysis and display of the heterogeneous signals for the detection of life threatening states is demonstrated using fuzzy logic based data fusion. And to evaluate the severity of the disease a new parameter, deterioration index is proposed and results are tabulated for various cases.

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Citations

Apr 3, 2014·Journal of Medical Systems·Reeda KunhimangalamPaul K Joseph
Dec 13, 2012·IEEE Reviews in Biomedical Engineering·Leif SörnmoKristian Solem
Oct 28, 2016·Journal of Clinical Monitoring and Computing·Xuejian Li, Youqing Wang

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