Investigation of probability density functions in modeling sample distribution of surface electromyographic ( sEMG ) signals

@inproceedings{Rosa2014InvestigationOP,
  title={Investigation of probability density functions in modeling sample distribution of surface electromyographic ( sEMG ) signals},
  author={Igor da Guia Rosa and Marco Antonio Cavalcanti Garcia and Marcio Nogueira de Souza},
  year={2014}
}
The surface electromyography signal (sEMG) has been typically modeled as a Gaussian random process. However, some authors have reported that the probability density functions (pdfs) associated with the sample distribution of sEMG signal exhibits a more peaked shape than one could expected for a Gaussian pdf. This work aimed to reinvestigate the profile of the sEMG pdfs during five different load levels of isometric contractions of biceps brachii muscle, and compared the adequacy of four… CONTINUE READING
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