Key result
Time-variant harmonic modeling outperformed two reference methods in preserving surface EMG signal content at low frequencies (less than 20 Hz) while mitigating ECG artifacts.
A novel nonstationary harmonic modeling approach effectively removes ECG artifacts from surface EMG signals while preserving low-frequency EMG content.
We present a compact approach for mitigating the presence of electrocardiograms (ECG) in surface electromyographic (EMG) signals by means of time-variant harmonic modeling of the cardiac artifact. Heart rate and QRS complex variability, which often account for amplitude and frequency time variations of the ECG, are simultaneously captured by a set of third-order constant-coefficient polynomials modulating a stationary harmonic basis in the analysis window. Such a characterization allows us to significantly suppress ECG from the mixture by preserving most of the EMG signal content at low frequencies (less than 20 Hz). Moreover, the resulting model is linear in parameters and the least-squares solution to the corresponding linear system of equations efficiently provides model parameter estimates. The comparative results suggest that the proposed method outperforms two reference methods in terms of the EMG preservation at low frequencies.
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Zivanovic et al. (2012) studied ECG artifacts in surface EMG signals. Time-variant harmonic modeling vs. Two reference methods was evaluated on EMG preservation at low frequencies (less than 20 Hz). Time-variant harmonic modeling outperformed two reference methods in preserving surface EMG signal content at low frequencies (less than 20 Hz) while mitigating ECG artifacts.
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