A Review of Transient Suppression Methods of IIR Notch Filters Used for Power-Line Interference Rejection in ECG Measurement

Mahdiani, Shadi; Jeyhani, Vala; Vehkaoja, Antti

doi:10.1007/978-3-319-32703-7_31

Cited by 4 publications

(1 citation statement)

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“…The paper compares the results of the well-known methods of ECG signal filtration (filters with finite (FIR) [7,8] or infinite impulse response (IIR) [9,10], adaptive noise canceller (ANC) [11], wavelet transform (WT) [12,13] and empirical mode decomposition (EMD) [14,15]) between the original artificially generated ECG signal and the filtered signal after mixing with the 50 Hz PLI. The goal of ECG signal denoising is to separate the desired cardiac components from the unwanted artifacts, so to extract an ECG that facilitates easy and accurate interpretation.…”

Section: Introductionmentioning

confidence: 99%

Power Line Interference Elimination in ECG Signals

Ládrová

Martínek

Jaroš

2019

JBBBE

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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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