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
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;
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
DOI :
10.1109/IEMBS.2005.1615762
