本文利用遗传算法和人工神经网络（ANN）对心电图（ECG）PQRSTU波形进行分析，预测病人的特定死亡、感染或状态，对心电图（ECG）进行精确分类诊断是必要的。对于这种难以诊断的信号，即ECG信号的分类，使用各种脉冲进行分类，
In this paper analysis of „ Electrocardiogram (ECG) PQRSTU-waveforms and prediction of particular decease infection or state of a patient is done using Genetic Algorithm and Artificial Neural Network (ANN), precise Electrocardiogram (ECG) classification to diagnose patient‟ s condition is essential. For classification of such difficult-to-diagnose-signals, i.e. ECG signal, classification is performed using various pulses,
资源文件列表
PhysioNet_ECG_Exporter/PhysioNet_ECG_Text_Exporter.m , 2559
PhysioNet_ECG_Exporter/PhysioNet_ECG_Plot.m , 1534
PhysioNet_ECG_Exporter/PhysioNet_ECG_Exporter.m , 7280