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

Volume

3

fYear

1996

fDate

31 Oct-3 Nov 1996

Firstpage

1039

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;

fLanguage

English

Publisher

ieee

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

Type

conf

DOI

10.1109/IEMBS.1996.652699

Filename

652699