COMPARISION SPECTRAL ANALYSIS METHODS ACCORDING TO THE PERFORMANCE AND SELECTIVITY FOR THE S1-S2 HEART SOUNDS

摘要

Bu ?aly?mada, eGeneral Medical Inc. ait veri bankasyndan alynan wav formatyndaki kalp sesleri Visual Studio C#.Net'de hazyrlanan yazylym ile ??zümlenerek zaman genlik verileri elde edildi. Bu veriler üzerinde Hamming, Hanning ve Blackman pencereleme ile beraber Ayryk Fourier D?nü?ümü (AFD), Shannon Enerji ve Periodogram Gü? Spektrum Yo?unlu?u (PGSY), Kysa zamanly Fourier D?nü?ümü (KZFD) teknikleri uygulandy. Uygulanan teknikler i?letim performanslary ve grafiksel se?icilik y?nünden kyyaslandy. Sonu? olarak Shannon Enerji uygulamasynyn i?lem süresinin AFD,KZFD ve PGSY uygulamalaryna g?re ?ok daha hyzly oldu?u ve S1 ve S2 kalp seslerini tanymlamada daha etkin bir metot oldu?u g?rüldü.In this study, time-amplitude data were obtained by being analyzed heart sounds in the wav file format that were received from eGeneral Medical Inc. database with software which was developed in Visual Studio C#.Net. On these data, Discrete Fourier Transform (DFT), Periodogram Power Spectrum Density (PSD), Shannon Energy and Short-time Fourier Transform (STFT) methods were used besides Hamming, Hanning and Blackman windowing functions. These methods were compared in terms of code process time and graphically selectiveness. As a result, it is seen that the process time of Shannon Energy method was much faster than DFT, STFT and Periodogram PSD methods and more efficient in classification of S1 and S2 heart sounds.