Subscribe Now Subscribe Today
Science Alert
Curve Top
Journal of Applied Sciences
  Year: 2007 | Volume: 7 | Issue: 24 | Page No.: 3971-3976
DOI: 10.3923/jas.2007.3971.3976
Facebook Twitter Digg Reddit Linkedin StumbleUpon E-mail

Diagnosis System Based on Wavelet Transform, Fractal Dimension and Neural Network

Abdallah M. El-Ramsisi and Hassan A. Khalil

In this study we introduce a diagnosis system based on wavelet and fractal dimension for diagnose the Heart Mitral Valve Diseases. This study deals with the feature extraction from the Doppler signal waveform at heart mitral valve using ultrasound. Wavelet packet transforms, Fourier transform and Fractal Dimension methods are used for feature extraction from the DHS signals. The back-propagation neural network is used to classify the extracted features. The system has been evaluated in 162 samples that contain 89 normal and 73 abnormal. The results showed that the classification was about 91% for normal and abnormal cases.
PDF Fulltext XML References Citation Report Citation
  •    VHDL Modeling of EMG Signal Classification using Artificial Neural Network
  •    Investigation of Capacity Behaviors by Linear and Nonlinear Models Chemometrics
  •    Automatic Heart Diseases Detection Techniques using Musical Approaches
  •    Iterative Feature Selection for Classification
How to cite this article:

Abdallah M. El-Ramsisi and Hassan A. Khalil, 2007. Diagnosis System Based on Wavelet Transform, Fractal Dimension and Neural Network. Journal of Applied Sciences, 7: 3971-3976.

DOI: 10.3923/jas.2007.3971.3976






Curve Bottom