Key result
A time domain approach for removing baseline noise from simulated ECG signals demonstrated that the errors of time domain filters depend on the amplitude of the baseline noises.
A time domain approach can be utilized to remove baseline noise from ECG signals when frequency domain filters are inadequate, though its efficacy depends on noise amplitude.
Baseline noise amplitude should guide time-domain ECG filter selection; leaves open real-signal validation before clinical use.
Electrocardiographic (ECG) signals in measurements are often contaminated with different types of noises in which include baseline noise. In case of the frequency of baseline noise is greater or smaller than frequency of the ECG signal, it is easy to filter the baseline noise from ECG signal by using filtered methods in frequency domain. In contrast, if frequency of baseline noise and frequency of ECG signal are coincident, it is difficult to apply the frequency domain filters for baseline noise removal. In this paper, we introduce an approach to remove of baseline noise from ECG signal in time domain and evaluation the efficacy of the method based on Mean Square Error criteria. We have performed experiments with simulated ECG signal which including white noise, random and sinusoidal baseline noises. Throughout the experiment, we found that the errors of time domain filters depend on the amplitude of the base line noises.
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Duong Trong Luong (2014) studied ECG signal processing. Time domain approach for baseline noise removal was evaluated on Mean Square Error. A time domain approach for removing baseline noise from simulated ECG signals demonstrated that the errors of time domain filters depend on the amplitude of the baseline noises.
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