Power line interference removal from electrocardiogram using a simplified lattice based adaptive IIR notch filter

2005 ◽  
Author(s):  
S.S. Dhillon ◽  
S. Chakrabarti
Keyword(s):  
Notch Filter ◽  
Power Line ◽  
Power Line Interference ◽  
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.

Power Line Interference Elimination in ECG Signals

2019 ◽  
Vol 41 ◽  
pp. 105-115
Author(s):  
Martina Ladrova ◽  
Radek Martinek ◽  
René Jaros
Keyword(s):  
Moving Average ◽  
Notch Filter ◽  
Power Line ◽  
Ecg Signal ◽  
Mode Decomposition ◽  
Wide Range ◽  
Interference Elimination ◽  
Power Line Interference ◽  
Adaptive Noise Canceller ◽  
Line Interference

The recordings of electrocardiogram (ECG), as an important biological signal which provides a valuable basis for the clinical diagnosis and treatment, are often corrupted by the wide range of artifacts. One important of them is power line interference (PLI). The overlapping interference affects the quality of ECG waveform, leading to the false detection and recognition of wave groups, and thus causing faulty treatment or diagnosis. The study deals with some of the signal processing approaches frequently used for elimination of PLI in ECG signal and compares the accuracy of methods by evaluation of the power of the remaining noise and comparing a filtered ECG signal with an original. The results are compared for three levels of interference and each tested method: Butterworth filter (BF), notch filter, moving average filter (MA), adaptive noise canceller (ANC), wavelet transform (WT) and empirical mode decomposition (EMD).

scholarly journals AN ADAPTIVE ALGORITHM FOR CANCELING POWER-LINE INTERFERENCE IN BIOPOTENTIAL MEASUREMENT

2004 ◽  
Vol 16 (06) ◽  
pp. 350-354 ◽  
Author(s):  
YUN-LI LIU ◽  
NIN-CHUN CHANG ◽  
SHENG-FENG HSU ◽  
DONG-LONG LIN ◽  
YUE-DER LIN
Keyword(s):  
Stop Band ◽  
Notch Filter ◽  
Signal Amplitude ◽  
Power Line ◽  
Reference Channel ◽  
Adaptive Filtration ◽  
Digital Notch Filter ◽  
Power Frequency ◽  
Power Line Interference ◽  
Line Interference

Biopotential measurements are very important in clinical diagnosis. However, the signal amplitude of biopotenials is very small and there usually exists stray capacitance between the electrode leads (or the human body) and the power lines, biopotential measurements are easily contaminated by 60-Hz (or 50-Hz) power-line interference. Analog or digital notch filter has been the most popular technique used for power-line interference removal. However, the notch filter performs well only when the power frequency is kept exactly at the stop band of the notch filter. The adaptive filtering technique provides another promising approach, yet there needs another reference channel for interference recording. The price of signal measurement is thus increased. The authors present a simple LMS-style algorithm for canceling the power-line interference in biopotential measurement. No reference channel is needed for adaptive filtration in this proposed algorithm. Compared with another technique serving for the same purpose, the proposed algorithm can remove practical power-line interference more effectively, and can be a post-acquisition processing remedy for biosignals having corrupted by power-line interference.

Elimination of Power Line Interference in ECG Signal Using Adaptive Filter, Notch Filter and Discrete Wavelet Transform Techniques

2019 ◽  
Vol 8 (1) ◽  
pp. 32-56 ◽  
Author(s):  
Srinivasa M.G. ◽  
Pandian P.S.
Keyword(s):  
Wavelet Transform ◽  
Discrete Wavelet Transform ◽  
Notch Filter ◽  
Power Line ◽  
Motion Artifacts ◽  
Discrete Wavelet ◽  
Ecg Signal ◽  
Power Line Interference ◽  
Non Stationary Signal ◽  
Line Interference

An ECG is a biomedical non-stationary signal, which contains valuable information about the electrical activity of the heart. The ECG is very sensitive and a weak signal, hence, it gets corrupted by various types of noise such as power line interference, baseline wander, motion artifacts, muscle contractions, electrode contact noise, etc., that may lead to a misdiagnosis. Among these noise parameters the power line interference is very crucial because noise falls in the ECG bandwidth, i.e. 0.05 Hz to 100 Hz. The article proposes the removal of power line interference (PLI) noise in an ECG signal based on discrete wavelet transform (DWT) and adaptive filtering techniques. The results are compared with the existing notch filter both in time and frequency domain by filter performance parameters like ESD, MSE %PSD and SNR.

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