CleanEMG: Comparing Interpolation Strategies for Power Line Interference Quantification in Surface EMG Signals

Authors

  • Nurul Abser University of New Brunswick
  • Dawn MacIsaac University of New Brunswick
  • Adrian D. C. Chan Carleton University
  • Graham Fraser Carleton University
  • James R. Green Carleton University

Abstract

Quantifying 50/60Hz power line interference in surface electromyography through spectral interpolation is investigated. The quantification method is based on interpolating the signal spectrum about its 50/60Hz components to estimate the signal, and then the power line interference. Once these constituents are differentiated, a signal-to-60Hz-Noise ratio may be estimated and used as a quantifying metric. Simulations were used to compare estimation error introduced by two interpolation methods, one using the raw spectrum, and another using a smoothed spectrum. Results indicate that the smoothed spectrum method performs moderately better, but both can yield estimation errors <10% relative to signal power.

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Published

2012-06-19

How to Cite

[1]
N. Abser, D. MacIsaac, A. D. C. Chan, G. Fraser, and J. R. Green, “CleanEMG: Comparing Interpolation Strategies for Power Line Interference Quantification in Surface EMG Signals”, CMBES Proc., vol. 35, Jun. 2012.

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Section

Academic