Comparison of Spectral Features of St. Jude and Sorin Bi-leaflet Mechanical Heart Valve Sounds

Sabri Altunkaya*
*Assistant Professor, Department of Electrical and Electronics Engineering, University of Necmettin Erbakan, Konya, Turkey .
Periodicity:March - May'2018
DOI : https://doi.org/10.26634/jcom.6.1.14444

Abstract

This study is aimed to compare the spectral characteristics of bileaflet mechanical heart valve (MHV) sound signals produced by two different companies. For this, heart sound and ECG signals of patients whose aortic or mitral heart valves replaced using commonly used St. Jude and Sorin bileaflet MHV were recorded. Three features relating to frequency of heart sounds and three features relating to energy of heart sounds were obtained from power spectrum of the recorded heart sound signals. Then the features from same recording area and same heart valve were statically compared.

Keywords

Mechanical Heart Valve, Heart Valve Replacement, Heart Sounds

How to Cite this Article?

Altunkaya,S. (2018). Comparison of Spectral Features of ST. Jude and Sorin Bileaflet Mechanical Heart Valve Sounds i-manager’s Journal on Computer Science, 6(1), 1-8. https://doi.org/10.26634/jcom.6.1.14444

References

[1]. Altunkaya, S., Kara S., Gourmus N. and Herdem S., (2011). Comparison of first and second heart sounds after mechanical heart valve replacement. Computer Methods in Biomechanics and Biomedical Engineering, 16(4), 368-380.
[2]. Altunkaya, S., Kara, S., Gourmus N., & Herdem, S. (2010). Statistically evaluation of mechanical heart valve thrombosis using heart sounds. In Proceedings of the World Congress on Engineering (Vol. 1, pp. 704-708).
[3]. Arzeno, N. M., Deng, Z., & Poon, C. S. (2008). Analysis of first-derivative based QRS detection algorithms. IEEE Trans. Biomed. Eng., 55(2), 478-484.
[4]. Baykal, A., Ider, Y. Z., & Koymen, H. (1995). Distribution of aortic mechanical prosthetic valve closure sound model parameters on the surface of the chest. IEEE Trans. Biomed. Eng., 42(4), 358-370.
[5]. Candy, J. V., & Meyer, A. W. (2001). Processing of prosthetic heart valve sounds from anechois tank measurements. International Congress on Sound and Vibration, Hong Kong, China.
[6]. Choi, S., & Jiang, Z. (2008). Comparison of envelope extraction algorithms for cardiac sound signal segmentation. Expert Syst. Appl., 34(2), 1056-1069.
[7]. Durand, L. G., Blanchard, M., Cloutier, G., Sabbah, H., & Stein, P. D. (1990). Comparison of pattern recognition methods for computer- assisted classification of spectra of heart sounds in patients with a porcine bioprosthetic valve implanted in the mitral position. Trans. Biomed. Eng. 37(12), 1121-1129.
[8]. El-Segaier, M., Lilja, O., Lukkarinen, S., Ornmo, L. S., Sepponen, R., & Pesonen, E. (2005). Computer-based detection and analysis of heart sound and murmur. Ann. Biomed. Eng., 33(7), 937-942.
[9]. Famaey, N., Defever, K., Bielen, P., Flameng, W., Vander Sloten, J., Sas, P., & Meuris, B. (2010). Acoustical analysis of mechanical heart valve sounds for early detection of malfunction. Medical Engineering & Physics, 32(8), 934-939.
[10]. Foale, R. A., Joo, T. H., McClellan, J. H., Metzinger R. W., Grant, G. L., Myers, G. S., & Lees, R. S. (1983). Detection of aortic porcine valve dysfunction by maximum entropy spectral analysis. Circulation, 68, 42- 49.
[11]. Fritzsche, D., Eitz, T., Minami, K., Reber, D., Laczkovics, A., Mehlhorn, U., Horstkotte, D., & Korfer, R. (2005). Digital frequency analysis of valve sound phenomena in patients after prosthetic valve surgery: Its capability as a true home monitoring of valve function. J. Heart Valve Dis., 14(5), 657-663.
[12]. Gonzacute;lez, B., et al. (2005). Biomechanics of mechanical heart valve. Applications of Engineering Mechanics in Medicine. Proceedings of the Congress on: Mechanics of Biomaterials. University of Puerto Rico, Mayaguez Campus.
[13]. Grigioni, M., Daniele, C., Gaudio, C. D., Morbiducci U., D'avenio, G., Meo, D. D., & Barbaro, V. (2007). Beat to beat analysis of mechanical heart valves by means of return map. J. Med. Eng. Technol., 31(2), 94-100.
[14]. Kim, S. H., Chang, B. C., Tack, G., Huh, J. M., Kang, M. S., Cho, B. K., & Park, Y. H. (1994). In vitro sound spectral analysis of prosthetic heart valves by mock circulatory system. Yonsei Med. J., 35(3), 271-278.
[15]. Kim, S. H., Lee, H. J., Huh, J. M., & Chang, B. C. (1998). Spectral analysis of heart valve sound for detection of prosthetic heart valve diseases. Yonsei Med. J., 39(4), 302-308.
[16]. Köhler, B. U., Hennig, C., & Orglmeister, R. (2002). The principles of software QRS detection. IEEE Eng. Med. Biol. Mag., 21(2), 42-57.
[17]. Liang, H., Lukkarinen, S., & Hartimo, I. (1997). Heart sound segmentation algorithm based on heart sound envelogram. In Computers in Cardiology Lund, Sweden.
[18]. Masson, C., & Rieu, R. (1998). Time–frequency analysis of the noise produced by the closing of artificial heart valves: An in vitro study. Med. Eng. Phys., 20, 418- 431.
[19]. Pan, J., & Tompkins, W. J. (1985). A real-time QRS detection algorithm. IEEE Trans. Biomed. Eng., 32(3), 230- 236.
[20]. Pavlopoulos, S. A., Stasis, A. C. H., & Loukis, N. E. (2004). A decision tree based method for the differential diagnosis of aortic stenosis from mitral regurgitation using heart sounds. Biomed. Eng. Online. 3, 21.
[21]. Rosenberg, G. (2006). Cardiac Valve Prostheses. In Tissue Engineering and Artificial Organs (pp. 64/1-64/23). USA, Taylor & Francis Group.
[22]. Roudaut, R., Serri, K., & Lafitte, S. (2007). Thrombosis of prosthetic heart valves: Diagnosis and therapeutic considerations. Heart, 93, 137-142.
[23]. Sava, H. P., & McDonnell, J. T. E. (1996). Spectral composition of heart sounds before and after mechanical heart valve imdantation using a modified forward-backward Prony's method. IEEE Trans. Biomed. Eng., 43(7), 734-742.
[24]. Sava, H. P., Bedi, R., & McDonnell, J. T. E. (1995). Spectral analysis of Carpentier-Edwards prosthetic heart valve sounds in the aortic position using SVD-based methods. Signal Processing in Cardiography, IEE Colloquiumon (pp. 6/1-6/4).
[25]. Semmlow, J. L. (2004). Biosignal and Biomedical Image Processing. USA: Marcel Dekker.
[26]. Syed, Z., Leeds, D., Curtis, D., Nesta, F., Levine, R. A., & Guttag, J. (2007). A framework for the analysis of acoustical cardiac signals. IEEE Trans. Biomed. Eng., 54(4), 651-662.
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