Title : 
Denoising the electrocardiogram from electromyogram artifacts by combined transform-domain and dynamic approximation method
         
        
            Author : 
Gotchev, Atanas ; Christov, Ivaylo ; Egiazarian, Karen
         
        
            Author_Institution : 
Tampere International Center for Signal Processing, Tampere University of Technology, P.O.Box 553, 333101, FINLAND
         
        
        
        
        
            Abstract : 
A method for electromyogram (EMG) artifact suppression in electrocardiogram (ECG) recordings is presented. In an attempt to improve the traditional compromise between efficient EMG artifact suppression and preservation of the ECG waveform, the method combines a dynamic approximation filtering working in the QRS complexes areas, with a transform domain denoising of the segments outside them. The switching between the two procedures is controlled by the ECG signal slew rate. The results obtained show a virtual preservation of the QRS amplitudes and a considerable reduction of the EMG artifact.
         
        
            Keywords : 
Acoustics; Approximation methods; Artificial intelligence; Europe; Instruments; Manganese; Transforms;
         
        
        
        
            Conference_Titel : 
Acoustics, Speech, and Signal Processing (ICASSP), 2002 IEEE International Conference on
         
        
            Conference_Location : 
Orlando, FL, USA
         
        
        
            Print_ISBN : 
0-7803-7402-9
         
        
        
            DOI : 
10.1109/ICASSP.2002.5745502