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Existing algorithms that perform pressure wave separation are too generalized to understand individual patient characteristics and thus do not help in accurate diagnosis. The proposed algorithm segregates the pressure wave form using flow waveform that is built by collecting characteristics of individual pressure waveform. The flow waveform derived from proposed algorithm matched the actual flow measurements in both men and women better than the triangular algorithm which is most commonly used at present.
The orange plot was obtained by the proposed algorithm and the blue plot was obtained by triangular model. We observe that the orange plot is less scattered along the y-axis with more points close to 0 as compared to the blue plot where points scatter beyond 0.2 and -0.2. These two plots demonstrate better performance of proposed algorithm in predicting flow in comparison with triangular model.