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This paper deals with noise contaminating EMG signal acquired in fRMI environment. The RF pulses are particularly addressed. Their characterization in the frequency domain allows their presentation as discrete pulses repeated at frequencies multiple of RF pulses repetition. The Harmonic plus Noise Model (HNM) is then used to model these pulses in the time-domain. The parameters of the model are extracted, frame by frame, according to the principle of short time analysis. The model is validated according to two criteria: the Segmental Signal to Noise Ratio (SSNR) and its Normalized Standard Deviation (NSDSSNR). Once modeled, the estimated noise is subtracted from noisy observation of EMG signal, leading to an enhanced version. Simulation results are given, validating the approach. In absence of ground truth, realistic situations are simulated in order to calculate quantitative criteria. Furthermore, qualitative appreciation is given thanks to muscular contractions profiles. Finally, the results are compared to those obtained with spectral subtraction and comb filtering.

RF Pulses Modelization for EMG Signal Denoising in fRMI Environment