scholarly journals Base Line Wander, Power Line Interference Noise Suppression and QRS Detection in ECG Signal using SCILAB

2020 ◽  
Vol 8 (11) ◽  
pp. 359-363
Author(s):  
Imteyaz Ahmad
Keyword(s):  
Noise Suppression ◽  
Power Line ◽  
Ecg Signal ◽  
Base Line ◽  
Qrs Detection ◽  
Interference Noise ◽  
Power Line Interference ◽  
Line Interference

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).

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