Abstract
The article describes a mathematical model of physiological heart sounds created with due account for the pseudorandom generation parameters of component harmonic. The model uses the sine-cosine Fourier transform with probabilistic elements that are included to impart stochastic properties. These elements determine the frequency, origination time, life cycle and amplitude of harmonics. It allows synthesizing a phonocardiogram that quite accurately reflects the individual features of heart sounds within every systolic cycle. The article describes the spectral differences of reference and synthesized signals. In the authors’ opinion, these differences are conditional to distortions typical of the traditional microphone-based sensors.
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