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Pathologies cardiac discrimination using the Fast Fourir Transform (FFT) The short time Fourier transforms (STFT) and the Wigner distribution (WD)
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Sid Mohammed ElAmine Debbal *1   , Lotfi Hamza cherif2 , Fadia Mezinai2 |
1- université de Tlemcen Algérie , adebbal@yahoo.fr
2- Université de Tlemcen Algérie |
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Abstract: (4248 Views) |
| This paper is concerned with a synthesis study of the fast Fourier transform (FFT), the short time Fourier transform (STFT and the Wigner distribution (WD) in analysing the phonocardiogram signal (PCG) or heart cardiac sounds. The FFT (Fast Fourier Transform) can provide a basic understanding of the frequency contents of the heart sounds. The STFT is obtained by calculating the Fourier transform of a sliding windowed version of the time signal s(t). The location of the sliding window adds a time dimension and one gets a time-varying frequency analysis. the Wigner distribution (WD) and the corresponding WVD (Wigner Ville Distribution) have shown good performances in the analysis of non-stationary and quantitative measurements of the time-frequency PCG signal characteristics and consequently aid to. signals. It is shown that these transforms provides enough features of the PCG signals that will help clinics to obtain diagnosis. Similarly, it is shown that the frequency content of such a signal can be determined by the FFT without difficulties qualitative |
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| Keywords: Phonocardiogram, signal processing, sounds, Time-frequency analysis, signal analysis, FFT, STFT, WD. |
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Type of Study: Review |
Subject:
Bioinformatic
Received: 2020/07/04 | Accepted: 2021/02/17 | Published: 2021/02/17
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