International audienceA 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
Considering the vast variety of EMG signal applications such as rehabilitation of people suffering f...
Electromyography (EMG) signal processing has been investigated remarkably regarding various applicat...
Theoretical and practical advances in time–frequency analysis, in general, and the continuous wavele...
International audienceA technique of artifacts removal based on the continuous wavelet transform is ...
International audienceA technique for artifact removal based on the continuous wavelet transform is ...
The study of biosignals such as Electromyography (EMG) and Electrocardiography (ECG) signals is sign...
Wavelet transform has been applied in this research for removing noise from the surface electromyogr...
We present a simple method to suppress the artifact that functional electrical stimulation causes to...
Abstract — Wavelet analysis is often very effective because it provides a simple approach for dealin...
The cutaneous recording of gastric myoelectrical activity of the stomach known as electrogastrograph...
Electromyography (EMG) signal processing has been investigated remarkably regarding various applicat...
The recording of EEG signals often still contains many contaminants electrical signals that originat...
Nowadays, analysis of electromyography (EMG) signal using wavelet transform is one of the most power...
International audienceThe aims of this study are to investigate muscular fatigue and to propose a ne...
This study introduces an adaptive implementation of a Continuous Wavelet Transform (CWT) decompositi...
Considering the vast variety of EMG signal applications such as rehabilitation of people suffering f...
Electromyography (EMG) signal processing has been investigated remarkably regarding various applicat...
Theoretical and practical advances in time–frequency analysis, in general, and the continuous wavele...
International audienceA technique of artifacts removal based on the continuous wavelet transform is ...
International audienceA technique for artifact removal based on the continuous wavelet transform is ...
The study of biosignals such as Electromyography (EMG) and Electrocardiography (ECG) signals is sign...
Wavelet transform has been applied in this research for removing noise from the surface electromyogr...
We present a simple method to suppress the artifact that functional electrical stimulation causes to...
Abstract — Wavelet analysis is often very effective because it provides a simple approach for dealin...
The cutaneous recording of gastric myoelectrical activity of the stomach known as electrogastrograph...
Electromyography (EMG) signal processing has been investigated remarkably regarding various applicat...
The recording of EEG signals often still contains many contaminants electrical signals that originat...
Nowadays, analysis of electromyography (EMG) signal using wavelet transform is one of the most power...
International audienceThe aims of this study are to investigate muscular fatigue and to propose a ne...
This study introduces an adaptive implementation of a Continuous Wavelet Transform (CWT) decompositi...
Considering the vast variety of EMG signal applications such as rehabilitation of people suffering f...
Electromyography (EMG) signal processing has been investigated remarkably regarding various applicat...
Theoretical and practical advances in time–frequency analysis, in general, and the continuous wavele...