Formant Detection Technique for the Phonocardiogram Spectra Using the 1st and 2nd Derivatives

This study describes a new method to analyze phonocardiogram acquired from electronic stethoscope. The method uses the formant frequencies of linear prediction spectrum of the phonocardiogram and proposes a novel method for formant detection using the smoothing and the first and second derivatives. For this, stethoscope sounds are acquired in university hospital. The stethoscope signals are preprocessed and analyzed by the Burg algorithm, a kind of linear prediction analysis. Based on the linear prediction spectra, the formant frequencies are estimated. The proposed method has shown better performance in formant frequency detection than the conventional peak picking method.

[1]  J.T.E. McDonnell,et al.  Spectral composition of heart sounds before and after mechanical heart valve implantation using a modified forward-backward Prony's method , 1996, IEEE Transactions on Biomedical Engineering.

[2]  Zhao Yue,et al.  Time-frequency analysis of heart sounds in telemedicine consulting system for auscultation , 2012, 2012 IEEE International Conference on Information and Automation.

[3]  Alias Mohd Noor,et al.  Classification of heart sound based on multipoint auscultation system , 2013, 2013 8th International Workshop on Systems, Signal Processing and their Applications (WoSSPA).

[4]  Taikang Ning,et al.  A fast heart sounds detection and heart murmur classification algorithm , 2012, 2012 IEEE 11th International Conference on Signal Processing.

[5]  Taikang Ning,et al.  Quantitative analysis of heart sounds and systolic heart murmurs using wavelet transform and AR modeling , 2009, 2009 Annual International Conference of the IEEE Engineering in Medicine and Biology Society.