scholarly journals A New Approach to Adaptive Power Line Interference Removal

2015 ◽  
Vol 103 (1) ◽  
pp. 41-49
Author(s):  
Abhay R. Kasetwar ◽  
Sanjay M. Gulhane
2006 ◽  
Vol 53 (11) ◽  
pp. 2220-2231 ◽  
Author(s):  
S.M.M. Martens ◽  
M. Mischi ◽  
S.G. Oei ◽  
J.W.M. Bergmans

2016 ◽  
Vol 25 (06) ◽  
pp. 1650052 ◽  
Author(s):  
Rajeev Kr. Ranjan ◽  
Chandan Kr. Choubey ◽  
Bal Chand Nagar ◽  
Sajal Kr. Paul

A new approach to the design of a comb filter using current conveyor is proposed to eliminate the undesired harmonic interference from biomedical signal. In this approach, a number of inverted band pass filters are used to construct a comb filter. The components used are second generation current conveyor (CCII), capacitor and resistor. To verify the performance of the proposed circuit, the comb filter is designed to eliminate the unwanted power line frequency of 60[Formula: see text]Hz and its odd harmonics such as 180, 300 and 420[Formula: see text]Hz. The proposed circuit is simulated by implementing CCII[Formula: see text] using a macro model of commercially available CFOA IC AD844 as well as 0.18[Formula: see text][Formula: see text]m CMOS technology. The circuit is also verified experimentally by using commercially available IC AD844. The effectiveness of harmonic removal has also been tested.


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

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.


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