Noise Reduction of ECG Signal Based on Morphological Filtering and WT |
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| Journal | Key Engineering Materials (Volumes 439 - 440) |
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| Volume | Advanced Measurement and Test X |
| Edited by | Yanwen Wu |
| Pages | 12-16 |
| DOI | 10.4028/www.scientific.net/KEM.439-440.12 |
| Online since | June, 2010 |
| Authors | Dan Zhang, Wen Tao Sui |
| Keywords | ECG Signal, Morphological Filtering, Noise Reduction, Wavelet Transform (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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