Vol.2 No.2
Year: 2013
Issue: Feb-Apr
Title : Analysis of Pcg Signals
Using Daubechies Wavelet Family
Author Name : ANITA DEVI, Abhishek Misal, G.R.
Sinha
Synopsis :
The authors have analyzed a
Bio-medical system for normal and abnormal heart sound identification based
using Discrete Wavelet Transform (DWT) which is very useful in diagnosis of
heart diseases. Due to the presence of sampling frequency components, the
wavelets have a different decomposition level and therefore for better
performance for a particular heart sound, DWT (Daubechies family) is applied up
to 10 levels to extract the features for the individual heart signal. One
dimensional feature extraction is obtained by evaluating the search parameters
such as maximum energy, maximum variance, maximum entropy, and the analysis
using these parameters provide best wavelet for determining suitable features
of phonocardiaogram (PCG) signals.
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