基于小波神经网络方法的心电图分类研究

ECG Classification Research Based on Wavelet Neural Networks Way

心电图是诊断心血管疾病的重要依据。提出了基于小波神经网络方法的心电图分类研究,构造了基于小波神经网络的心电图分类器。使用实际数据进行了测试,结果表明:该分类器可以有效、快速地进行心电图分类,为心电图自动化诊断提供了条件。

The ECG is the important basis of diagnosing the cardiovascular disease, this article proposed based on wavelet neural network way in the ECG classification diagnostic. And then make a WNN （wavelet neural network）ECG sorter. Using the real data to test indicates this method can effectively and fleetly differentiate the normal case from wrong. It can provide a new way for the ECG automation diagnosis.