An Intelligent System for Diagnosis of the Heart Valve Diseases With Wavelet Packet Neural Networks
Yükleniyor...
Dosyalar
Tarih
2003
Yazarlar
Dergi Başlığı
Dergi ISSN
Cilt Başlığı
Yayıncı
Pergamon-Elsevier Science Ltd
Erişim Hakkı
info:eu-repo/semantics/openAccess
Özet
In this paper, an intelligent system is presented for interpretation of the Doppler signals of the heart valve diseases based on the pattern recognition. This paper especially deals with combination of the feature extraction and classification from measured Doppler signal waveforms at the heart valve using the Doppler Ultrasound. Because of this, a wavelet packet neural network model developed by us is used. The model consists of two layers: wavelet and multi-layer perceptron. The wavelet layer is used for adaptive feature extraction in the time-frequency domain and is composed of wavelet packet decomposition and wavelet packet entropy. The multi-layer perceptron used for classification is a feed-forward neural network. The performance of the developed system has been evaluated in 215 samples. The test results showed that this system was effective in detecting Doppler heart sounds. The correct classification rate was about 94% for abnormal and normal subjects. (C) 2003 Elsevier Science Ltd. All rights reserved.
Açıklama
Anahtar Kelimeler
Pattern recognition, Doppler heart sounds, Feature extraction, Wavelet packet decomposition, Entropy, Wavelet packet neural networks, İntelligent system
Kaynak
Computers in Biology and Medicine
WoS Q Değeri
Q2
Scopus Q Değeri
Q1
Cilt
33
Sayı
4
Künye
Türkoğlu, İ., Arslan, A., İlkay, E., (2003). An Intelligent System for Diagnosis of the Heart Valve Diseases With Wavelet Packet Neural Networks. Computers in Biology and Medicine, 33(4), 319-331. Doi: 10.1016/S0010-4825(03)00002-7
