Noise Reduction of ECG Signal Based on Morphological Filtering and WT

Dan Zhang; Wen Tao Sui

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

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Preface

Mechanical Vibration Analysis Using ANC and Morlet Wavelet
p.1

DWT-Based Adaptive Filter and its Application on Canceling Noise in Mechanical Signals
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Noise Reduction of ECG Signal Based on Morphological Filtering and WT
p.12

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Load Distribution of Rolling Bearing for Steel Shapes Universal Roll Mill
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HomeKey Engineering MaterialsKey Engineering Materials Vols. 439-440Noise Reduction of ECG Signal Based on...

Noise Reduction of ECG Signal Based on Morphological Filtering and WT

Abstract:

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.

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Key Engineering Materials (Volumes 439-440)

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12-16

DOI:

https://doi.org/10.4028/www.scientific.net/KEM.439-440.12

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Online since:

June 2010

Authors:

Dan Zhang, Wen Tao Sui

Keywords:

ECG Signal, Morphological Filtering, Noise Reduction, Wavelet Transform (WT)

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References

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