Comput Methods Programs Biomed - Power line interference filtering on surface electromyography based on the stationary wavelet packet transform.

Tópicos

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Resumo

Power line interference is one of the main problems in surface electromyogram signals (EMG) analysis. In this work, a new method based on the stationary wavelet packet transform is proposed to estimate and remove this kind of noise from EMG data records. The performance has been quantitatively evaluated with synthetic noisy signals, obtaining good results independently from the signal to noise ratio (SNR). For the analyzed cases, the obtained results show that the correlation coefficient is around 0.99, the energy respecting to the pure EMG signal is 98-104%, the SNR is between 16.64 and 20.40dB and the mean absolute error (MAE) is in the range of -69.02 and -65.31dB. It has been also applied on 18 real EMG signals, evaluating the percentage of energy respecting to the noisy signals. The proposed method adjusts the reduction level to the amplitude of each harmonic present in the analyzed noisy signals (synthetic and real), reducing the harmonics with no alteration of the desired signal.

Resumo Limpo

power line interfer one main problem surfac electromyogram signal emg analysi work new method base stationari wavelet packet transform propos estim remov kind nois emg data record perform quantit evalu synthet noisi signal obtain good result independ signal nois ratio snr analyz case obtain result show correl coeffici around energi respect pure emg signal snr db mean absolut error mae rang db also appli real emg signal evalu percentag energi respect noisi signal propos method adjust reduct level amplitud harmon present analyz noisi signal synthet real reduc harmon alter desir signal

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