scholarly journals Automatic power-line interference canceller for geophysical instruments

1985 ◽  
Vol 16 (2-3) ◽  
pp. 266-268
Author(s):  
B. Qian ◽  
Z. Qian
Keyword(s):  
Power Line ◽  
Power Line Interference ◽  
Interference Canceller ◽  
Line Interference

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
Keyword(s):  
Power Line ◽  
Adaptive Power ◽  
Power Line Interference ◽  
Interference Canceller ◽  
Line Interference

Extended Kalman Filter-Based Power Line Interference Canceller for Electrocardiogram Signal

Big Data ◽  
2021 ◽  
Author(s):  
Suleman Tahir ◽  
Muneeb Masood Raja ◽  
Nauman Razzaq ◽  
Alina Mirza ◽  
Wazir Zada Khan ◽  
...  
Keyword(s):  
Kalman Filter ◽  
Extended Kalman Filter ◽  
Power Line ◽  
Electrocardiogram Signal ◽  
Power Line Interference ◽  
Interference Canceller ◽  
Line Interference

A Frequency Tracking Adaptive Power Line Interference Canceller for Electrocardiogram

2014 ◽  
Vol 556-562 ◽  
pp. 1506-1509
Author(s):  
Bao Jie Wang ◽  
Yan Men ◽  
Gang Zheng
Keyword(s):  
Signal To Noise Ratio ◽  
Adaptive Method ◽  
Power Line ◽  
Frequency Variation ◽  
Ecg Signals ◽  
Adaptive Power ◽  
Power Line Interference ◽  
Relationship Of ◽  
Interference Canceller ◽  
Line Interference

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.

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