Estimating Boundaries of Primary Heart Sounds for Diagnosing Heart Valve Disorders

Estimation of the boundaries of primary heart sounds (S1 & S2) aids the characterization of murmurs present in the heart sound cycle for diagnosing heart valve disorders. The work presents an effective boundary estimation algorithm. Extensive incorporation of biomedical domain features facilitates the development of a computationally efficient algorithm using fundamental time-domain signal analysis techniques. The accuracy of algorithm is established over complex heart sound patterns pertaining to various heart valve disorders.