Extraction of gastric slow waves from multichannel electrogastrograms using blind signal separation

Author

Lin, Zhiyue ; Liang, Hualou ; McCallum, Richard W

Author_Institution

Dept. of Med., Kansas Univ. Med. Center, Kansas City, KS, USA

Volume

2

fYear

1999

fDate

36434

Abstract

The electrogastrogram (EGG), a cutaneous measurement of gastric electrical activity, is a mixture of gastric slow waves and noise, which makes analysis of multichannel EGGs difficult. A novel blind signal separation method with a flexible non-linearity is introduced and applied to extract gastric slow waves from multichannel EGGs. The results from both simulations and real EGGs obtained from humans show that the proposed method is able to extract gastric slow waves from multichannel EGGs. As a result, cleaned multichannel EGGs can be recovered to facilitate the analysis

Keywords

bioelectric potentials; digital simulation; medical signal processing; patient diagnosis; blind signal separation method; cleaned multichannel electrogastrograms; cutaneous measurement; gastric electrical activity; gastric slow waves; noise; simulations; Adaptive filters; Blind source separation; Cities and towns; Electric variables measurement; Humans; Interference; Noise measurement; Pollution measurement; Signal analysis; Signal processing algorithms;

fLanguage

English

Publisher

ieee

Conference_Titel

[Engineering in Medicine and Biology, 1999. 21st Annual Conference and the 1999 Annual Fall Meetring of the Biomedical Engineering Society] BMES/EMBS Conference, 1999. Proceedings of the First Joint

Conference_Location

Atlanta, GA

ISSN

1094-687X

Print_ISBN

0-7803-5674-8

Type

conf

DOI

10.1109/IEMBS.1999.804181

Filename

804181