An Improved Adaptive Power Line Interference Canceller for Electrocardiography

2006 ◽  
Vol 53 (11) ◽  
pp. 2220-2231 ◽  
Author(s):  
S.M.M. Martens ◽  
M. Mischi ◽  
S.G. Oei ◽  
J.W.M. Bergmans
2014 ◽  
Vol 556-562 ◽  
pp. 1506-1509
Author(s):  
Bao Jie Wang ◽  
Yan Men ◽  
Gang Zheng

Power line interference (PLI) may lead to the signal-to-noise ratio (SNR) decline sharply on biomedical signals, including the electrocardiogram (ECG). The proposed method employs the relationship of frequency and weights in adaptive filter to track the frequency variation of PLI. Real ECG signals from MIT-BIH database was used in the experiment, and they were corrupt by an artificial PLI signal for experiment. Correction performances of the proposed method and traditional adaptive method were compared by SNR in the paper. The results showed that the proposed method is consistently superior to the traditional one when the power line interference is vary with time, and the proposed method can track the variation of power line interference effectively.


Big Data ◽  
2021 ◽  
Author(s):  
Suleman Tahir ◽  
Muneeb Masood Raja ◽  
Nauman Razzaq ◽  
Alina Mirza ◽  
Wazir Zada Khan ◽  
...  

2015 ◽  
Vol 103 (1) ◽  
pp. 41-49
Author(s):  
Abhay R. Kasetwar ◽  
Sanjay M. Gulhane

2008 ◽  
Vol 29 (7) ◽  
pp. 803-816 ◽  
Author(s):  
Dobromir Dobrev ◽  
Tatyana Neycheva ◽  
Nikolay Mudrov

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