DocumentCode
1582877
Title
Noise Removal of ECG Signals using Legendre Moments
Author
Kwan, Ban-Hoe ; Ong, Kok-Meng ; Paramesran, Raveendran
Author_Institution
Dept. of Electr. Eng., Malaya Univ., Kuala Lumpur
fYear
2006
Firstpage
5627
Lastpage
5630
Abstract
This paper proposes a method to remove the noise in the ECG (electrocardiogram) signals using Legendre moments. Noise is removed in the reconstructed ECG signals when lower order Legendre moments are used. RMSE (root mean square error) is used as the distortion measure for the reconstructed ECG signals. With sampling rate of 256 Hz and number of moments used is 13% of the data in each interval, experimental results show that reconstruction of ECG signal using Legendre moments can produce a smoother signal without noise while maintaining signal quality that is acceptable to cardiologist
Keywords
Legendre polynomials; electrocardiography; medical signal processing; signal denoising; signal reconstruction; 256 Hz; ECG signals; Legendre moments; electrocardiogram; noise removal; root mean square error; signal reconstruction; Biomedical imaging; Cardiology; Distortion measurement; Electrocardiography; Heart; Image reconstruction; Medical diagnostic imaging; Polynomials; Root mean square; Sampling methods;
fLanguage
English
Publisher
ieee
Conference_Titel
Engineering in Medicine and Biology Society, 2005. IEEE-EMBS 2005. 27th Annual International Conference of the
Conference_Location
Shanghai
Print_ISBN
0-7803-8741-4
Type
conf
DOI
10.1109/IEMBS.2005.1615762
Filename
1615762
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