Time-efficient removal of power-line noise from EMG signals using IIR notch filters with non-zero initial conditions

• Autorzy: Piskorowski J.
• Języki publikacji: EN

Abstrakty

EN

Power-line interference is always a problem when biopotential signals are recorded. This paper presents a technique for time-efficient power-line interference suppression from EMG signals using digital IIR (Infinite Impulse Response) notch filters with reduced transient response. The reduction of the transient response is obtained by finding optimal non-zero initial conditions for the considered notch filters. Simulations verifying the effectiveness of the proposed technique are presented and compared with the performance of the traditional notch filters with zero initial conditions using EMG signal with unwanted sinusoidal interferences as a study case.

Słowa kluczowe

EN

signal processing; power line noise; EMG signal; notch filters; transient response; initial conditions

PL

przetwarzanie sygnału; hałas linii energetycznej; sygnał EMG; warunki początkowe

• Wydawca: Nałęcz Institute of Biocybernetics and Biomedical Engineering of the Polish Academy of Sciences ; Elsevier
• Czasopismo: Biocybernetics and Biomedical Engineering
• Rocznik: 2013
• Tom: Vol. 33, no. 3
• Strony: 171--178
• Opis fizyczny: Bibliogr. 14 poz., wykr.

Twórcy

autor

Piskorowski J.

• Department of Systems, Signals and Electronic Engineering, West Pomeranian University of Technology, ul. Gen. Sikorskiego 37, 70-313 Szczecin, Poland

Bibliografia

• [1] Christov II, Dotsinsky IA. New approach to the digital elimination of 50 Hz interference from the electrocardiogram. Med Biol Eng Comput 1988; 26: 431–4.
• [2] Hamilton PS. A comparison of adaptive and nonadaptive filters for reduction of powerline interference in the ECG. IEEE Trans Biomed Eng 1996; 43: 105–9.
• [3] Jekova I, Krasteva V. Subtraction of 16.67 Hz railroad net interference from the electrocardiogram: application for automatic external defibrillators. Physiol Meas 2005; 26: 987–1003.
• [4] Mewett DT, Nazeran H, Reynolds KJ. Removing power line noise from recorded EMG. Proc IEEE/EMBS 2001; 1–4.
• [5] Beck TW, DeFreitas JM, Cramer JT, Stout JR. A comparison of adaptive and notch filtering for removing electromagneticnoise from monopolar surface electromyographic signals. Physiol Meas 2009; 30: 353–61.
• [6] Ferdjallah M, Barr RE. Adaptive digital notch filter design on the unit circle for removal of powerline noise from biomedical signals. IEEE Trans Biomed Eng 1994; 41: 529–36.
• [7] Yacoub S, Raoof K. Power line interference rejection from surface electromyography signal using an adaptive algorithm. IRBM 2008; 29: 231–8.
• [8] Ziarani AK, Konrad A. A nonlinear adaptive method of elimination of power line interference in ECG signals. IEEE Trans Biomed Eng 2002; 49: 540–7.
• [9] Piskorowski J. A new concept of filters for biomedical data processing needs. Biocybern Biomed Eng 2011; 31: 27–37.
• [10] Pei SC, Tseng CC. Elimination of AC interference in electrocardiogram using IIR notch filter with transient suppression. IEEE Trans Biomed Eng 1995; 42: 1128–32.
• [11] Piskorowski J. Digital Q-varying notch IIR filter with transient suppression. IEEE Trans Instrum Meas 2010; 59: 866–72.
• [12] Piskorowski J. Powerline interference rejection from sEMG signal using notch filter with transient suppression. Proc IEEE I2MTC 2012; 1447–51.
• [13] Tseng CC, Pei SC, Stable IIR. notch filter design with optimal pole placement. IEEE Trans Signal Process 2001; 49: 2673–81.
• [14] http://www.physionet.org/physiobank/database/emgdb/ (accessed 01.02.13).