Abstract
In this paper, we propose a novel method for baseline wander removal from a noisy ECG signal. We use projection operator based approach to remove baseline wander noise from the ECG signal. The noise subspace is generated using sample functions of the first order fBm processes characterizing baseline wander noise. The orthogonal projection of noisy ECG signal onto the noise subspace provides an estimate of baseline wander noise. The estimated noise is subtracted from the noisy input signal to obtain noise-free ECG signal. Performance comparison with other baseline wander removal methods shows the efficacy of the proposed method.
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