基于ICA神经网络的心脏运动评价疾病诊断

M. Mansoory, M. Ashtiyani, H. N.
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引用次数: 8

摘要

在本文中,我们使用基于ICA的人工神经网络(ANN),提出了一种有效的二维超声心动图图像分析技术。这个项目可以分为三个部分。第一部分是利用超声心动图序列估计心脏运动。第二部分是利用独立分量分析(ICA)算法对运动模式进行特征提取。第三部分是利用神经网络对正常与异常心肌功能进行分类。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Cardiac Motion Evaluation for Disease Diagnosis Using ICA Basis Neural Network
In this paper, we used ICA based artificial neural network (ANN) and propose a robust technique for efficient 2D echocardiography image analyzing.This project can be divided in three parts. The first part is cardiac motion estimation from sequence of echocardiography. The second part is feature extraction from motion patterns using sources, these sources is derived from Independent Component Analyzing (ICA) algorithm. The third part is the classification of normal and abnormal myocardial function using neural network.
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