EMG artifacts removal during electrical stimulation, a CWT based technique

Author

Yochum, Maxime ; Bakir, Toufik ; Binczak, Stephane ; Lepers, Romuald

Author_Institution

Univ. of Burgundy, Dijon, France

fYear

2014

fDate

14-16 April 2014

Firstpage

137

Lastpage

140

Abstract

A technique of artifacts removal based on the continuous wavelet transform is presented. It uses common mother wavelets to find the temporal localization of stimulation artifacts on electromyogram (EMG) signal during an electrically evoked contraction of a muscle. This method can be used with standard stimulation pulse waveforms like monophasics or biphasics ones. It uses a histogram representation to find the best threshold to apply on the CWT domain. The algotithm is presented with Haar wavelet and then it is used with common wavelet famillies such as Daubechies or Symlets.

Keywords

Haar transforms; electromyography; medical signal processing; wavelet transforms; CWT based technique; EMG artifacts removal; Haar wavelet tranforms; continuous wavelet transform; electrical stimulation; electromyogram signal; histogram representation; standard stimulation pulse waveforms; Continuous wavelet transforms; Electrical stimulation; Electromyography; Histograms; Muscles; Electromyogram; histogram representation; source separation; stimulation artifacts; wavelet;

fLanguage

English

Publisher

ieee

Conference_Titel

Region 10 Symposium, 2014 IEEE

Conference_Location

Kuala Lumpur

Print_ISBN

978-1-4799-2028-0

Type

conf

DOI

10.1109/TENCONSpring.2014.6863012

Filename

6863012