Wavelet based neural network architecture for ECG signal compression

Abstract

This paper addresses the problem of compressing Electrocardiogram (ECG) signals using the concept of adaptive sampling. The concept of adaptive sampling relates to optimum estimation of wavelet parameters that best represents a given signal. These wavelet parameters are estimated by minimizing the least mean square error between the original and… (More)

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