On An Algorithm for Boundary Estimation of Commonly Occurring Heart Valve Diseases in Time Domain

Determining the exact timings of the cardiac events by the first (S1) and second (S2) heart sounds from the phonocardiogram (PCG) signal, represents a great challenge, specially in pathological cases. A system that allows the detection of heart diseases, is needed a properly boundary estimated cardiac cycles of heart sound signal. Boundary estimation algorithm gives the exact boundary of the S1 and S2 of PCG signal. This paper proposes a novel method of boundary estimation algorithm that extensively utilizes biomedical domain features for reduction of time and computational complexities and is more accurate. The performance of the algorithm is evaluated for 10 commonly occurring pathological cases and normal heart sound for various sampling frequencies, recording environments and age group of subjects. It is found to give an accuracy of 96.30 percent for proposed boundary estimation algorithm