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Many kinds of methods have been developed to classify QRS complex in Holter electrocardiogram. However, the accuracy of these methods dose not fully satisfy the clinical needs. In this paper, we developed an automated classification methods using a wavelet transform and two-layered Self-Organizing Map (SOM) to improve the accuracy. A discrete wavelet coefficient is used as a characteristic parameter...
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