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ECG
- The early detection of arrhythmia is very important for the cardiac patients. This done by analyzing the electrocardiogram (ECG) signals and extracting some features from them. These features can be used in the classification of different typ
neural-network
- 利用径向基函数神经网络，完成ECG信号的非线性拟合，进而提取出胎儿心电信号-Radial basis function neural network to complete the non-linear fitting of the ECG signal, and then extract the fetal ECG
PhysioNet_ECG_Exporter
- 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) class
feibing
- 非常适合计算机视觉方面的研究使用,包括最小二乘法、SVM、神经网络、1_k近邻法,内含心电信号数据及运用MATLAB写的源代码。- Very suitable for the study using computer vision, Including the least squares method, the SVM, neural networks, 1 _k neighbor method, ECG data and includes source code written in MATL
fieqeng_v19
- 包括调制，解调，信噪比计算，内含心电信号数据及运用MATLAB写的源代码，包括最小二乘法、SVM、神经网络、1_k近邻法。- Includes the modulation, demodulation, signal to noise ratio calculation, ECG data and includes source code written in MATLAB, Including the least squares method, the SVM, neural networks
ming-mv76
- 是一种双隐层反向传播神经网络，内含心电信号数据及运用MATLAB写的源代码，本程序的性能已经超过其他算法。- Is a two hidden layer back propagation neural network, ECG data and includes source code written in MATLAB, This program has exceeded the performance of other algorithms.