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    Intelligent ECG Signal Noise Removal with Moving Median Filter Using Neural Network

    Abstract: In this paper, the electrocardiogram (ECG) signal is susceptible to noise and artifact and it is essential to remove noise using neural network. The noise in order to support first 3600 of noisy heart signal is collected from MIT-BIH data base. In this paper, the use of average median filter and artificial neural network is analyzed. The available filters for power-line interference need a reference channel or regard that the …

    Published in Current Trends in Signal Processing · Vol. 3, Issue 2, 2013 · pp. 19–25 Read article

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