Extration of Diaphragmatic EMG Using DWT

El-Mostafa Fadaili (1) , Vincent Vigneron (1) , Christian Jutten (2) , Christian Straus (1) , T. Similowski (1)

1 IBISC - Informatique, Biologie Intégrative et Systèmes Complexes
2 GIPSA-SIGMAPHY - GIPSA - Signal Images Physique

Analysis of respiratory muscle activity by means of oesophageal electrodes is a promising technique to detect and diagnose neuromuscular pathology. The diaphragm electromyogram (dEMG) is a mixture of signals generated by different active muscles due to the phenomena related to repiratory volume. Wavelet transform can be used as a preprocessing tool to denoise dEMG signals from artefact and ECG. In the present study, we have established the effectiveness of this tool to extract dEMG from a set of experimental recording.

Mots clés: denoising; wavelet transform; esophageal electrodes; diaphragmatic EMG

Domaines: Traitement du signal et de l'image [eess.SP]; Traitement du signal et de l'image [eess.SP]

El-Mostafa Fadaili, Vincent Vigneron, Christian Jutten, Christian Straus, T. Similowski. Extration of Diaphragmatic EMG Using DWT. [Research Report] GIPSA-lab. 2008. ⟨hal-00202737⟩