Yüzey EMG i̇şaretlerinin dalgacik dönüş ümüne dayali analizi

Translated title of the contribution: A wavelet transfom-based analysis of surface EMG signals

Ufuk Özkaya*, Lütfiye Durak

*Corresponding author for this work

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

1 Citation (Scopus)

Abstract

Surface electromyogram (EMG) signals are biopotential signals, which give information about the behavior of muscles. Surface EMG signals are formed as the summation of motor unit action potentials (MUAP) obtained from active motor units. In this paper a method, which facilitates the analysis of real EMG data recorded at several contraction levels with surface electrodes, is introduced. In this method, in order to decompose surface EMG signals into their MUAP's, three different algorithms are employed and their performances are compared. Wavelet coefficients of the EMG signal whose noise components are filtered by wavelet transform are decomposed into its independent components by a statistical method, called "Independent Component Analysis (ICA)". Determination of MUAP's has been achieved using the extracted independent components.

Translated title of the contributionA wavelet transfom-based analysis of surface EMG signals
Original languageTurkish
Title of host publication2007 IEEE 15th Signal Processing and Communications Applications, SIU
DOIs
Publication statusPublished - 2007
Externally publishedYes
Event2007 IEEE 15th Signal Processing and Communications Applications, SIU - Eskisehir, Turkey
Duration: 11 Jun 200713 Jun 2007

Publication series

Name2007 IEEE 15th Signal Processing and Communications Applications, SIU

Conference

Conference2007 IEEE 15th Signal Processing and Communications Applications, SIU
Country/TerritoryTurkey
CityEskisehir
Period11/06/0713/06/07

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