Title : 
Noise detection and denoising on electrogastrography using nonorthogonal multiresolution wavelet analysis
         
        
            Author : 
Liang, Jie ; Cheung, John C. ; Chen, J.D.Z.
         
        
            Author_Institution : 
Inst. for Healthcare Res., Baptist Med. Center, OK, USA
         
        
        
        
            fDate : 
31 Oct-3 Nov 1996
         
        
        
            Abstract : 
Nonorthogonal multiresolution wavelet analysis (NOMRWA) is well applicable to finite signals of arbitrary length, and has been successfully applied to different biomedical signals. This paper presents an application of NOMRWA on electrogastrogram (EGG), Noise detection and denoising using NOMRWA were performed on EGG signals. Experimental results showed that this could be very promising method for EGG signal processing
         
        
            Keywords : 
bioelectric potentials; medical signal processing; noise; wavelet transforms; arbitrary length finite signals; biomedical signals; denoising; electrodiagnostics; electrogastrography; noise detection; nonorthogonal multiresolution wavelet analysis; Algorithm design and analysis; Energy resolution; Finite impulse response filter; Noise reduction; Senior members; Signal analysis; Signal detection; Signal processing algorithms; Signal resolution; Wavelet analysis;
         
        
        
        
            Conference_Titel : 
Engineering in Medicine and Biology Society, 1996. Bridging Disciplines for Biomedicine. Proceedings of the 18th Annual International Conference of the IEEE
         
        
            Conference_Location : 
Amsterdam
         
        
            Print_ISBN : 
0-7803-3811-1
         
        
        
            DOI : 
10.1109/IEMBS.1996.652699