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.

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

scholarly journals Methods of Power Line Interference Elimination in EMG Signal

2019 ◽  
Vol 40 ◽  
pp. 64-70
Author(s):  
Martina Ladrova ◽  
Radek Martinek ◽  
Jan Nedoma ◽  
Marcel Fajkus
Keyword(s):  
Signal To Noise Ratio ◽  
Notch Filter ◽  
Correlation Coefficients ◽  
Power Line ◽  
Shape Distortion ◽  
Emg Signal ◽  
Wide Range ◽  
Interference Elimination ◽  
Power Line Interference ◽  
Line Interference

Electromyogram (EMG) recordings are often corrupted by the wide range of artifacts, which one of them is power line interference (PLI). The study focuses on some of the well-known signal processing approaches used to eliminate or attenuate PLI from EMG signal. The results are compared using signal-to-noise ratio (SNR), correlation coefficients and Bland-Altman analysis for each tested method: notch filter, adaptive noise canceller (ANC) and wavelet transform (WT). Thus, the power of the remaining noise and shape of the output signal are analysed. The results show that the ANC method gives the best output SNR and lowest shape distortion compared to the other methods.

scholarly journals Power-line Interference Removal from High Sampled ECG Signals Using Modified Version of the Subtraction Procedure

2020 ◽  
Vol 24 (4) ◽  
pp. 381-392
Author(s):  
Ivan Dotsinsky ◽  
◽  
Todor Stoyanov ◽  
Georgy Mihov ◽  
◽  
...  
Keyword(s):  
Sampling Rate ◽  
Power Line ◽  
Signal Spectrum ◽  
Band Pass Filter ◽  
Pass Filter ◽  
Sample Number ◽  
Ecg Signals ◽  
Subtraction Procedure ◽  
Power Line Interference ◽  
Line Interference

The acquired ECG signals are often contaminated by residual Power-line Interference (PLI). A lot of methods, algorithms and techniques for PLI reduction have been published over the last few decades. The so called subtraction procedure is known to eliminate almost totally the interference without affecting the signal spectrum. The goal of our research was to develop a heuristic version of the procedure intended for ECG signals with high Sampling Rate (SR) up to 128 kHz. The PLI is extracted from the corrupted signal by technique similar to second order band-pass filter but with practically zero phase error. The sample number as well as the left and right parts outside the samples belonging to a current sine wave, which is extracted from the contaminated signal, are counted and measured. They are used to compensate the error arising with the shift between the moving averaged free of PLI signal samples and their real position along the linear segments (usually PQ and TP intervals having frequency band near to zero). The here calculated PLI components are appropriately interpolated to ‘clean’ the dynamically changed in amplitude and position contaminated samples within the non-linear segments (QRS complexes and high T waves). The reported version of the subtraction procedure is tested with 5 and 128 kHz sampled ECG signals. The maximum absolute error is about 20 μV except for the ends of the recordings. Finally, an approach to PLI elimination from paced ECG signals is proposed. It includes pace pulse extraction, signal re-sampling down to 4 kHz and subtraction procedure implementation followed by adding back the removed pace pulses.

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