Title :
Removal of Power Line Interference of ECG Signal Based on Independent Component Analysis
Author :
Sanxiu, Wang ; Shengtao, Jiang
Author_Institution :
Sch. of Phys. & Electron. Eng., Taizhou Univ., Taizhou
Abstract :
The electrocardiogram signals was mixed with the power-line interference inevitably while being gathered and recorded, in order to avoid the wrong identification from the characteristics of ECG signals and impact analysis and diagnosis accuracy, it is necessary to remove the power-line interference effectively.This paper adopts independent component analysis to remove this interference and uses international standards ECG database MIT/BIH to validate the algorithm. The experimental results show that removal of interference of ECG signal based on independent component analysis, can not only preserve the original details information as soon as possible and also filter the interference signal successfully, the result is better.
Keywords :
electrocardiography; filtering theory; independent component analysis; interference (signal); medical signal processing; ECG database; MIT/BIH; electrocardiogram signals; impact analysis; independent component analysis; interference signal filtering; power line interference removal; Biomedical signal processing; Electrocardiography; Filters; Independent component analysis; Information filtering; Interference; Signal analysis; Signal processing; Signal processing algorithms; Wavelet analysis; Electrocardiogram signal(ECG); FastICA; Independent component analysis; Power-line interference;
Conference_Titel :
Education Technology and Computer Science, 2009. ETCS '09. First International Workshop on
Conference_Location :
Wuhan, Hubei
Print_ISBN :
978-1-4244-3581-4
DOI :
10.1109/ETCS.2009.81