Comparison of methods for removing electromagnetic noise from electromyographic signals.
The purpose of this investigation was to compare three different methods of removing noise from monopolar electromyographic (EMG) signals: (a) electrical shielding with a Faraday cage, (b) denoising with a digital notch-filter and (c) applying a bipolar differentiation with another monopolar EMG signal. Ten men and ten women (mean age = 24.0 years) performed isometric muscle actions of the leg extensors at 10-100% of their maximal voluntary contraction on two separate occasions. One trial was performed inside a Faraday tent (a flexible Faraday cage made from conductive material), and the other was performed outside the Faraday tent. The EMG signals collected outside the Faraday tent were analyzed three separate ways: as a raw signal, as a bipolar signal, and as a signal digitally notch filtered to remove 60 Hz noise and its harmonics. The signal-to-noise ratios were greatest after notch-filtering (range: 3.0-33.8), and lowest for the bipolar arrangement (1.6-10.2). Linear slope coefficients for the EMG amplitude versus force relationship were also used to compare the methods of noise removal. The results showed that a bipolar arrangement had a significantly lower linear slope coefficient when compared to the three other conditions (raw, notch and tent). These results suggested that an appropriately filtered monopolar EMG signal can be useful in situations that require a large pick-up area. Furthermore, although it is helpful, a Faraday tent (or cage) is not required to achieve an appropriate signal-to-noise ratio, as long as the correct filters are applied.
Department of Health and Exercise Science, University of Oklahoma, Norman, OK 73019, USA. defreitas@ou.edu
Jason M
JM
Defreitas
Travis W
TW
Beck
Matt S
MS
Stock
D000704:Analysis of Variance; D016477:Artifacts; D004560:Electricity; D055590:Electromagnetic Phenomena; D004576:Electromyography / Q000379:methods*; D005260:Female; D006801:Humans; D008297:Male; D012044:Regression Analysis; D012815:Signal Processing, Computer-Assisted; D055815:Young Adult