Recognition of myoelectric activity based on Teager-Kaiser energy operator

A. Ramírez-García, I. Bazán

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

1 Scopus citations

Abstract

A challenge in myoelectric control for electrical prosthesis is to obtain information from myoelectric signals to activate the degrees of freedom of the prosthesis. When only a little muscular surface is disposable to detect the myoelectric signal the problem is not easy to solve because only one or two channels can be recorded. So, when only a pair of electrodes or one channel is used to record the signal, strategies to extract more information from the signals should be developed. Then more than one function could be activated in a myoelectric prosthesis. In this paper the Teager-Kaiser energy operator is evaluated in the task of myoelectric signal recognition. Specifically two levels of signal were identified: level 1 (87.37 percent of classification) and level 2 (84.09 percent of classification).

Original languageEnglish
Title of host publication2015 12th International Conference on Electrical Engineering, Computing Science and Automatic Control, CCE 2015
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781467378390
DOIs
StatePublished - 14 Dec 2015
Externally publishedYes
Event12th International Conference on Electrical Engineering, Computing Science and Automatic Control, CCE 2015 - Mexico City, Mexico
Duration: 26 Oct 201530 Oct 2015

Publication series

Name2015 12th International Conference on Electrical Engineering, Computing Science and Automatic Control, CCE 2015

Conference

Conference12th International Conference on Electrical Engineering, Computing Science and Automatic Control, CCE 2015
Country/TerritoryMexico
CityMexico City
Period26/10/1530/10/15

Keywords

  • Teager-Kaiser energy operator
  • electromyographic signal
  • myoelectric control

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