@inproceedings{e0af59c1a6164a70ae9d325a31a9df2e,
title = "An application of wavelet transform (WT) and independent component analysis (ICA) for electrogastrographic (Egg) signals artifacts detection",
abstract = "Electrogarstrogram (EGG) is an electric signal that is propagated through the muscles of stomach controlling muscles contractions and measuring stomach nerve activity before and after food ingestion. It is easy to perform, noninvasive and relatively inexpensive test which therefore has become an attractive method for physiologic and pathophysiologic examinations of the stomach. The main component of gastric myoelectrical activity, called gastric slow waves, has a frequency about 3 cycles/min (0.05 Hz). As a result the EGG signal requires longer recording time (usually more than 1 hour). Furthermore EGG is a weaker signal then other bioelectric signals, such as ECG or respiratory noise, so the EGG is usually contaminated by artifacts, which damage the recorded data and make analysis very difficult or impossible. In order to use EGG as diagnostic tool the artifacts have to be first detected and then automatically eliminated before the analysis starts.",
keywords = "EGG, ICA, Wavelets",
author = "Ewaryst Tkacz and Pawe{\l} Kostka and Barbara Mika",
note = "Publisher Copyright: {\textcopyright} International Federation for Medical and Biological Engineering 2007.; 10th World Congress on Medical Physics and Biomedical Engineering, WC 2006 ; Conference date: 27-08-2006 Through 01-09-2006",
year = "2007",
doi = "10.1007/978-3-540-36841-0\_244",
language = "English",
isbn = "9783540368397",
series = "IFMBE Proceedings",
publisher = "Springer Verlag",
number = "1",
pages = "1026--1029",
editor = "Kim, \{Sun I.\} and Suh, \{Tae Suk\}",
booktitle = "IFMBE Proceedings",
address = "Germany",
edition = "1",
}