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Method and Apparatus for ECG Arrhythmia Classification using a Deep Convolutional Neural Network
Method and Apparatus for ECG Arrhythmia Classification using a Deep Convolutional Neural Network
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机译:使用深度卷积神经网络进行ECG心律失常分类的方法和设备
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摘要
A method and apparatus for classifying an electrocardiogram arrhythmia using a deep convolutional neural network are presented. The electrocardiogram arrhythmia classification method using a deep convolutional neural network proposed in the present invention includes a step of converting a 1D ECG signal into a 2D ECG image and reinforcing the converted 2D ECG image using a learning technique, and reducing overfitting. And expanding the training data by performing normalization for, measuring a degree of training of the neural network using an objective function, and performing classification for a plurality of ECG types through a CNN classifier.
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