Login New user?  
01-Applied Mathematics & Information Sciences
An International Journal
               
 
 
 
 
 
 
 
 
 
 
 
 
 

Content
 

Volumes > Volume 04 > No. 3

 
   

Filtering of Cardiac and Power Line in Surface Respiratory EMG Signal

PP: 365-382
Author(s)
S. Yacoub, K. Raoof, H. Eleuch,
Abstract
Biomedical EMG signal is contaminated by many noise sources as the electrocardiogram ECG artefact and the power line interference PLI artefact. It’s difficult to filter these noises from EMG signal, and errors resulting from filtering can atlter the signal. In order to solve this problem, we present in this paper an adaptative interference filter with a variable step size parameter for the removal of the two principal noises (ECG and PLI) which disturb the surface electromyography signal (Diaphragm), the “Adaptive Interference Canceller” (AIC) for the PLI and the “Cascade Adaptive Canceller” (CAC) for the ECG. The algorithms proposed require a reference signal that is correlated with the noise contaminating the signal. The noise references are then extracted : first with a noise reference mathematically constructed using two different cosine functions; 50Hz (the fundamental) function and 150Hz (the first harmonic) function for the power line interference and second with a matching pursuit technique combined to an LMS structure for the ECG artefact estimation. The proposed procedures require only one channel to both estimating the adaptive filter input reference and the EMG signal. The proposed techniques of filtering are evaluated using both computer simulations and realEMGrecords, and its efficiency in interference cancellation is compared to already conducted research.

  Home   About us   News   Journals   Conferences Contact us Copyright naturalspublishing.com. All Rights Reserved