利用bp神经网络的方法来实现ecg信号st段的模式识别。-The use of bp neural network approach to the realization of ecg signal st paragraph of pattern recognition.

摘要:心电图ST段对心脏疾病的诊断具有重要意义。在正确读取采集于郑州大学一附院的运动心电图数据基础上,利用小波变换更准确地确定其ST段的起始和终止位置,初步探讨了BP神经网络用于心电图ST段识别的方法,并用此方法识别出心电图ST段的三种类型—正常、水平压低和抬高。实验结果较好。 -Abstract: ECG ST segment on the diagnosis of heart disease is important. Collected in the correct reading o

ECG data and includes source code written in MATLAB, The entire training process BP neural network, Convolution operation is intended to signal and image rendering.

使用卷积神经网络实现心电异常分类，内含损失函数，验证集、测试集等(ECG anomaly classification using convolutional neural network)