@inproceedings{904465b090a9421db6abc7f8991b348f,
title = "Identification of slow wave propagation in the multichannel (EGG) electrogastrographical signal",
abstract = "The aim of this research is to examine the effectiveness of combining two methods IndependentComponentAnalysis (ICA) and adaptive filtering for identifying the slow waves propagation from cutaneousmultichannel electrogastrographical signal (EGG). The 3 cycle per minute (3 cpm) gastric pacesetter potential so-called slow wave is fundamental electrical phenomenon of stomach. Slow waves determine the propagation and maximum frequency of stomach contractions. Appropriate spread of gastric contractions is a key for the correct stomach emptying whereas delay this action causes various gastric disorders, such as bloating, vomiting or unexplained nausea. Parameters depict EGG properties mostly based on spectral analysis and information about slow waves spread and coupling are totaly lost, so new methods for studying slow wave propagation are really desired.",
keywords = "Electrogastrography, Propagation, Slow wave",
author = "Mika, \{Barbara T.\} and Tkacz, \{Ewaryst J.\}",
note = "Publisher Copyright: {\textcopyright} Springer International Publishing Switzerland 2014.; 3rd International Conference on Man-Machine Interactions, ICMMI 2013 ; Conference date: 22-10-2013 Through 25-10-2013",
year = "2014",
doi = "10.1007/978-3-319-02309-0\_26",
language = "English",
series = "Advances in Intelligent Systems and Computing",
publisher = "Springer Verlag",
pages = "247--255",
editor = "Aleksandra Gruca and Tadeusz Czach{\'o}rski and Stanis{\l}aw Kozielski and Tadeusz Czach{\'o}rski",
booktitle = "Man-Machine Interactions 3",
address = "Germany",
}