Mitral valve stenosis is an important heart condition that develops when the mitral valve fails to open as wide as it should. In this study, we have performed Eigenvector based Music, FFT based Welch, and AR based Burg methods of Doppler signals real clinical data from patients with mitral valve stenosis and healthy volunteers. Using these methods, we have not only utilized power spectral density distribution graphs, but also facilitated Doppler sonograms and estimation of SBI to obtain medical information about mitral stenosis and determination of spectral broadening in the presence of mitral stenosis. In conclusion, this research has shown that frequency level of maximum power spectral density is distinctive and there is an advantage in using the EIG-Music over the FFT-Welch and AR-Burg for the determination of SBI. Using the Music method among them, the calculation of SBI may help determine mitral valve stenosis.