PARAVALVULAR KAÇAKLI MEKANİK KALP KAPAK SES SİNYALLERİNİN AYRIK DALGACIK DÖNÜŞÜMÜYLE İNCELENMESİ

Sabri ALTUNKAYA

PARAVALVULAR KAÇAKLI MEKANİK KALP KAPAK SES SİNYALLERİNİN AYRIK DALGACIK DÖNÜŞÜMÜYLE İNCELENMESİ

Sabri ALTUNKAYA

Öz

Bu çalışmanın amacı mekanik kalp kapak değişiminden sonra kapak kenarında meydana gelen kaçağın belirlenmesine yönelik mekanik kalp kapak ses sinyallerinin ayrık dalgacık dönüşümü ile incelenmesidir. Bu amaçla mekanik kapak kenarında kaçak oluşmuş 2 hasta ile mekanik kalp kapağı normal çalışan 5 hastaya ait kalp kapak ses sinyalleri kayıt edilmiştir. Kayıt edilen mekanik kalp kapak ses sinyalleri ayrık dalgacık dönüşümü ile detay ve yaklaşım katsayılarına ayrıştırılmıştır. Ayrışım sonucu elde edilen detay ve yaklaşım katsayılarından özellikler çıkarılarak normal ve hasta gruba ait özellikler istatistiksel olarak karşılaştırılmıştır. Karşılaştırma sonucunda Daubechies 2 dalgacık fonksiyonundan elde edilen özelliklerin mekanik kalp kapağı kenarında oluşan kaçağın tespitinde kullanılabileceği görülmüştür.

Anahtar Kelimeler

Mekanik kalp kapak ses sinyalleri, Ayrık dalgacık dönüşümü

Tam Metin:

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Referanslar

Altunkaya, S., 2011, “Investigation of mechanical heart valves and complications with modern methods of spectral analysis”, Ph.D. Thesis, Selçuk University, Graduate School of Natural Science, Konya.

Altunkaya, S.; Kara, S.; Gormus, N. & Herdem S., 2013, “Comparison of first and second heart sounds after mechanical heart valve replacement", Computer Methods in Biomechanics and Biomedical Engineering, 16 (4), 368-380.

Altunkaya, S.; Kara, S.; Gormus, N., "Wavelet analysis of mechanical heart valve sounds with paravalvular leakage," Computer Technologies in Physical and Engineering Applications (ICCTPEA), 2014 International Conference on , June 30 2014-July 4 2014, St. Petersburg / Russia.

Addison, PS, 2002, “Illustrated wavelet transform handbook introductory theory and applications in science, engineering, medicine and finance”, IOP Publishing Ltd., London, UK.

Adeli, H., Zhou, Z., Dadmehr, N. , 2003, “Analysis of EEG records in an epileptic patient using wavelet transform”, J. Neurosci. Methods, 123(1), 69-87.

Burrus, CS., Gopinath, RA., Guo, H., 1998, “Introduction the wavelet and wavelet transform”, Prentice-Hall, USA.

Daubechies, I., 1990, “The wavelet transform, time-frequency localization and signal analysis”, IEEE Transactions on Information Theory, 36(5), 961-1005.

Dominik, J., Zacek, P., 2010, “Heart valve surgery an illustrated guide”, Springer-Verlag, Germany.

Jayawardena, S., Sooriabalan, D., Burzyantseva, O., & Sinnapunayagm, S., 2008, “Paravalvular mitral valve leakage presenting as congestive heart failure, missed by TTE but diagnosed by TEE: a case report” Cases Journal, 1, 216.

Mallat, S., 1998, “A wavelet tour of signal processing”, Academic Press, USA.

Rosenberg, G., 2006, “Tissue engineering and artificial organs”, CRC Press, USA.

Sampaio, Roney Orismar et al. “Postoperative outcome of patients with prosthetic valve leak”, 2009,Arq. Bras. Cardiol., 93 (3), 283-289.

Sava, H.P., McDonnell, J.T.E., 1996, “Spectral composition of heart sounds before and after mechanical heart valve implantation using modified forward-backward prony’s method”, IEEE Transactions On Biomedical Engineering, 43 (1), 734-742.

Soltani, S., 2002, “On the use of the wavelet decomposition for time series prediction”, Neurocomputing, 48, 267–277.

Valens, C., “A really friendly guide to wavelets”, http://polyvalens.pagesperso-orange.fr/clemens/wavelets/wavelets.html, visit date: August 8, 2015.

Zhang, D., He, J., Yao, J., Wu, Z., Du, M., “Spectral analysis of heart sounds produced by disorder mechanical prosthetic heart valves”, 2nd International Conference on Biomedical Engineering and Informatics, BMEI’09, 17-19 Oct. 2009, Tianjin, China.

DOI: https://doi.org/10.15317/Scitech.2016218519