ECG Pattern Recognition Based on Wavelet Transform and BP Neural Network.

This paper introduces the Electrocardiogram (ECG) pattern recognition method based on wavelet transform and standard BP neural network classifier. Experiment analyzes wavelet transform of ECG to extract the maximum wavelet coefficients of multi-scale firstly. We then input them to BP classify for different kinds ECG. The experimental result shows that the standard BP neural network classifier's overall pattern recognition rate is well. The ECG in this paper was from MIT-BIH. Experimental result shows that feature vector extracted by the wavelet transform can characterize ECG patterns, and BP neural network classifier has a stronger ECG recognition effect. [ABSTRACT FROM AUTHOR]