Title :
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
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;
Conference_Titel :
Region 10 Symposium, 2014 IEEE
Conference_Location :
Kuala Lumpur
Print_ISBN :
978-1-4799-2028-0
DOI :
10.1109/TENCONSpring.2014.6863012