EMG artifacts removal during electrical stimulation, a CWT based technique

6533b853fe1ef96bd12ac393

RESEARCH PRODUCT

EMG artifacts removal during electrical stimulation, a CWT based technique

Toufik Bakir Romuald Lepers Maxime Yochum Stéphane Binczak

subject

Discrete wavelet transform stimulation artifacts 0206 medical engineering 02 engineering and technology Electromyography [ SPI.SIGNAL ] Engineering Sciences [physics]/Signal and Image processing 03 medical and health sciences 0302 clinical medicine Wavelet Histogram wavelet medicine Source separation Waveform Computer vision Continuous wavelet transform Mathematics [SPI.SIGNAL] Engineering Sciences [physics]/Signal and Image processing 030222 orthopedics medicine.diagnostic_test business.industry histogram representation Pattern recognition 020601 biomedical engineering Haar wavelet Electromyogram [SPI.TRON]Engineering Sciences [physics]/Electronics [ SPI.TRON ] Engineering Sciences [physics]/Electronics source separation Artificial intelligence business [SPI.SIGNAL]Engineering Sciences [physics]/Signal and Image processing

description

International audience; 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.

year	journal	country	edition	language
2014-04-14

https://hal.archives-ouvertes.fr/hal-01090131

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