Key result
Wavelet transform and adaptive filtering techniques outperform notch filters for removing ECG power-line interference.
Why the study?
ECG signals are sensitive and weak, making them prone to corruption by power line interference that falls within the 0.05 Hz to 100 Hz ECG bandwidth and may lead to misdiagnosis.
May enhance ECG denoising in practice; leaves open optimal technique selection for clinical recordings.
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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Srinivasa et al. (2018) studied ECG signal corrupted by power line interference. Discrete wavelet transform (DWT) and adaptive filtering techniques vs. Notch filter was evaluated on Removal of power line interference evaluated by filter performance parameters (ESD, MSE, %PSD, and SNR) in time and frequency domains. Discrete wavelet transform and adaptive filtering techniques were compared with a notch filter to remove 0.05-100 Hz power line interference in ECG signals using ESD, MSE, %PSD, and SNR.
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