Noise removal of ECG signals using legendre moments

Ban Hoe Kwan, Kok Meng Ong, Raveendran Paramesran

Research output: Chapter in Book/Report/Conference proceedingConference PaperResearchpeer-review

8 Citations (Scopus)

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.

Original languageEnglish
Title of host publicationProceedings of the 2005 27th Annual International Conference of the Engineering in Medicine and Biology Society, IEEE-EMBS 2005
Pages5627-5630
Number of pages4
Publication statusPublished - 2005
Externally publishedYes
EventInternational Conference of the IEEE Engineering in Medicine and Biology Society 2005 - Shanghai, China
Duration: 1 Sept 20054 Sept 2005
Conference number: 27th
https://ieeexplore.ieee.org/xpl/conhome/10755/proceeding (Proceedings)

Publication series

NameAnnual International Conference of the IEEE Engineering in Medicine and Biology - Proceedings
Volume7 VOLS
ISSN (Print)0589-1019

Conference

ConferenceInternational Conference of the IEEE Engineering in Medicine and Biology Society 2005
Abbreviated titleEMBC 2005
Country/TerritoryChina
CityShanghai
Period1/09/054/09/05
Internet address

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