Incident and reflected wave analyzer using blood pressure and volume pulse

Cardiovascular disease is a serious problem worldwide, are among the leading causes of morbidity and mortality in men and women of all ages. The increased number of deaths from cardiovascular disease is because the western way of life, obesity, diabetes and the traditional methods are not able to predict or detect risk factors in individuals with asymptomatic or early stage disease. Obtaining wave reflection parameters is one of the techniques to detect risk factors using a non-invasive biomedical equipment. The aim of this project is to develop a device of non-invasive biomedical instrumentation that allows separating the incident and reflected wave pulse from the measurement of blood pressure and volume using independent component analysis (ICA) as a tool to help physicians predict cardiovascular disease asymptomatic or early stage. ICA is a statistical technique for decomposing multivariate signals into their underlying source components assuming linear mixing of the sources at the sensors. ICA provides and alternative approach for the study of pressure and volume in the cardiovascular system. It is carried out in the time domain and so it is easy to relate the results of the analysis to particular times in the cardiac cycle. The results have shown that the independent component analysis is an appropriate method for incident and reflected waves separation using blood pressure and volume pulse. In conclusion this prototype would help to physician realize a better cardiovascular disease diagnosis.