A note on the probability distribution function of the surface electromyogram signal☆

Highlights ► We recorded surface EMG signals with a biofeedback setup at 7 different contraction levels. ► We estimated the PDF, kurtosis and bicoherence index of the measured signals. ► We show that the EMG PDF at low contraction levels is super-Gaussian. ► At higher contraction forces, the EMG PDF tends to a Gaussian distribution.

• Publication year

  2013

• Venue

  Brain Research Bulletin

• Publication date

  2013-01-01

• Fields of study

  Medicine, Mathematics

• Identifiers
  DOI 10.1016/j.brainresbull.2012.09.012PMID 23047056PMCID 3878385
• External record

  Open on Semantic Scholar

• Source metadata

  Semantic Scholar, PubMed

• No claims are published for this paper.

• No concepts are published for this paper.

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