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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.
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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
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Using MATLAB dynamic clustering or iterative self-organizing data analysis, BP neural network function fitting and pattern recognition, ECG data and includes source code written in MATLAB.
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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.
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