| 基于小波神经网络的心电诊断算法的研究 |
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| 引用本文： | 刘雄飞,黄茁.基于小波神经网络的心电诊断算法的研究[J].计算机仿真,2009,26(4). |
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| 作者姓名： | 刘雄飞 黄茁 |
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| 作者单位： | 中南大学物理科学与技术学院,湖南,长沙,410083 |
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| 摘 要： | 研究了一种基于小波神经网络的心电图室性早搏和正常窦性心律分类算法.首先对MIT-BIH标准数据库进行室性早搏和正常窦性心律样本的提取与标准化,然后应用小波神经网络建立分类模型.利用小波变换的波形检测和特征提取特点以及人工神经网络的自我学习能力,通过大量的心电图样本训练后,使网络不仅对训练样本有较高的分辨率(97.5%),而且对未训练过的样本也有较好的分辨率(95.1%).仿真结果表明,算法计算简单、实现容易,适用于心电图的分类.
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| 关 键 词： | 小波神经网络 模式识别 心电图 室性早搏 |
An Algorithm for Cardiac Diagnosis Based on Wavelet Neural Network |
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| LIU Xiong-fei,HUANG Zhuo.An Algorithm for Cardiac Diagnosis Based on Wavelet Neural Network[J].Computer Simulation,2009,26(4). |
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| Authors: | LIU Xiong-fei HUANG Zhuo |
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| Affiliation: | School of Physics Science and Technology;Central South University;Changsha Hunan 410083;China |
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| Abstract: | An algorithm for electrocardiogram(ECG) premature ventricular contraction(PVC) and normal sinus rhythm(NSR) classification based on wavelet neural network is studied.First,the paper extracts and normalizes the samples of PVC and NSR in the MIT-BIH database,then establishes a wavelet neural network classification model.By using the waveform detection and feature extraction characteristic of wavelet transformation as well as the self-learning capability of artificial neural networks,after training with a larg... |
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| Keywords: | Wavelet neural network Pattern recognition ECG PVC |
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