Noise Reduction of ECG Signal Based on Morphological Filtering and WT

Abstract:

Article Preview

In order to eliminate the noise in ECG signal and increase the diagnosis efficiency, a method based on morphological filtering and wavelet algorithm is proposed. The morphological filters is used to filter out the baseline interference signal, and the wavelet transform is applied to remove high frequency interference. The experiment proves that the algorithm is effective.

Info:

Periodical:

Key Engineering Materials (Volumes 439-440)

Edited by:

Yanwen Wu

Pages:

12-16

DOI:

10.4028/www.scientific.net/KEM.439-440.12

Citation:

D. Zhang and W. T. Sui, "Noise Reduction of ECG Signal Based on Morphological Filtering and WT", Key Engineering Materials, Vols. 439-440, pp. 12-16, 2010

Online since:

June 2010

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Price:

$35.00

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