Title:
STPatternRecognitonbaseonBP
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Description: Abstract: ECG ST segment on the diagnosis of heart disease is important. Collected in the correct reading of the first affiliated hospital of Zhengzhou University in exercise ECG data based on the use of wavelet transform to more accurately determine the ST segment of the start and end position, discussed the BP neural network for ECG ST-recognition method, and use this method to identify three types of ECG ST segment- the normal, the level of depression and elevation. Experimental results are good.
- [ecg_diagnostic] - Graduation Project ECG analysis system d
- [Download] - Using artificial neural network algorith
- [rddata] - MIT ECG read source code for MIT ECG dat
- [ECG] - A series of data knowledge discovery bas
- [classification] - ECG feature extraction and clasifficatio
- [ECGmonitoring] - Wavelet transform is a signal of the tim
- [labview] - Labview-based ECG signal acquisition and
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基于BP神经网络的心电图ST段的模式识别.kdh
