Based on the residual neural networks model architecture of the Deep Neural Network,ECG records downloaded from the PhysioBank database were adaptively classified,and abnormal ECG signals,identified as atrial fibrillation,were detected.The results indicate that a more complex neural network architecture can achieve superior classification performance.Furthermore,the network model utilized in this study demonstrated capability in the detection of atrial fibrillation from ECG signals,suggesting its potential as an effective tool to aid physicians in diagnosis.
关键词
深度神经网络/残差网络/心电信号/自适应分类
Key words
Deep neural network/Residual network/Electrocardiosignal/Adaptive classification
维普
万方数据