Time frequency analysis of patent ductus arteriosus disease in dogs

• Autorzy: Akgün Ö. , Varol H. S.

Warianty tytułu

PL

Czasowo-częstotliwościowa analiza sygnałów serca psów cierpiących na chorobę ductus arteriosus

• Języki publikacji: EN

Abstrakty

EN

This study is based on the analysis of the heart sound signals taken from different auscultation areas of three dogs diagnosed with Patent Ductus Arteriosus (PDA). The analyses were started by introducing the mathematical substructure of the methods used. Then the phonocardiographic signals taken from the three dogs were assessed in terms of time-amplitude (t-a) and frequency amplitude (f-a); subsequently, the components of the signals in time-frequency dimensions were examined. As a result of these analyses, the importance of the auscultation area and time-frequency examination in the diagnosis of the PDA disease was demonstrated.

PL

W artykule zaprezentowano analize shgnałów serca z różnych obszarów ciała trzech psów cierpiących na chorobę Patent Ductus Arteriosus. Przeprowadzono analizę harmoniczną sygnałów w dziedzinie czasu.

Słowa kluczowe

EN

PDA; heart sound; spectogram

PL

analiza czasowo-częstotliwościowa; serce; PDA

• Wydawca: Wydawnictwo SIGMA-NOT
• Czasopismo: Przegląd Elektrotechniczny
• Rocznik: 2012
• Tom: R. 88, nr 9b
• Strony: 309--313
• Opis fizyczny: Bibliogr. 12 poz., rys.

Twórcy

autor

Akgün Ö.

• Department of Electronic and Computer Education , University of Marmara, Istanbul,Turkey

autor

Varol H. S.

• Department of Electronic and Computer Education , University of Marmara, Istanbul,Turkey

Bibliografia

• [1] Bracewell R. N., The Fourier Transform & Its Applications, (McGraw-Hill Science, 1999).
• [2] Chu E., Discrete and Continuous Fourier Transforms: Analysis, Applications and Fast Algorithms,(Chapman & Hall/CRC, 2008).
• [3] Zonst A.E., Understanding the FFT, (Citrus Press., 1995).
• [4] Suppappola A.P., Applications in Time-Frequency Signal Processing, (CRC Pres., 2002).
• [5] Debbal S.M., Bereksi F.-Reguig, Cardiac murmur analysis using the short-time fourier transform, Journal of mechanics in medicine and biology, vol. 6 n. 3, pp. 273-284.
• [6] Kim I.Y., Lee S.M., Yeo H.S., W.T. Han W.T., Hong S.H., Feature extraction for heart sound recognition based on time-frequency analysis, The 21st Annual Conf. and the 1999 Annual Fall Meeting of the Biomedical Engineering Soc. ~ BMES/EMBS, 1999~.
• [7] Boutana D., Djeddi M., Benidir M., Identification of Aortic Stenosis and Mitral Regurgitation By Heart Sound Segmentation On Time-Frequency Domain, The 5th International Symposium on Image and Signal Processing and Analysis ~ISPA 2007~, Sept. 27-29,2007.
• [8] Barry D.T., Wood J., Time Frequency Transforms Of The Human First Heart Sound, 13. Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 31 Oct.-3 Nov., 1991.
• [9] Brusco M., Nazeran H., Digital phonocardiography: a PDA-based approach, The 26th Annual International Conference of the IEEE Engineering in Medicine and Biology Society ~IEMBS '04~, 2004.
• [10] Park M.K., Pediatric Cardiology Handbook, ( Mosby, 2002).
• [11] Khan M.G., Encyclopedia of Heart Diseases, (Academic Pres., 2005).
• [12] Springhouse, Auscultation Skills: Breath & Heart Sounds, (Lippincott Williams & Wilkins, 2002).