Application of SVM in computer aided gastric diagnostic system

• Autorzy: Świerczyński Z. , Mazur J.
• Języki publikacji: EN

Abstrakty

EN

In the paper computer aided stomach diagnosis problems are presented. The subject of the study is electrical signal generated by human stomach and called electrogastrographic (EGG) signal. The non-invasively measured signals were subjected to parametrization, which was performed with one of the time series modelling methods, with linear autoregressive models (AR). Then the obtained sets of numbers were classified with the Support Vector Machine (SVM), which is a relatively new pattern recognition technique and is based on the idea of structural risk minimization, The structure and parameters of algorithm used for classification of the parameterized EGG data are described. The finally obtained effectiveness of the whole system (SVM with the parametrization method applied), amounting to 81%, is promising and, according to the authors' analysis can be improved. The ways of improving of the effectiveness are also outlined in the conclusions.

Słowa kluczowe

EN

EGG; electrogastrographic signals; gastric electrical activity; parametrization; classification; stomach; SVM; support vector machine; pattern recognition

PL

sygnał elektrogastrograficzny; żołądek; maszyna wektorów wsparcia; rozpoznawanie wzoru

• Wydawca: Nałęcz Institute of Biocybernetics and Biomedical Engineering of the Polish Academy of Sciences ; Elsevier
• Czasopismo: Biocybernetics and Biomedical Engineering
• Rocznik: 2004
• Tom: Vol. 24, no. 4
• Strony: 19--30
• Opis fizyczny: Bibliogr. 13 poz., rys., tab.

Twórcy

autor

Świerczyński Z.

• Chair of Electronics and Photonic Metrology, Faculty of Electronics, Wrocław University of Technology, ul. B. Prusa 53/55, 50-371 Wrocław, Poland

autor

Mazur J.

• Institute of Telecommunication and Acoustics, Faculty of Electronics, Wrocław University of Technology, Poland

Bibliografia

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• [6] Świerczyński Z.: Parametryzacja sygnałów biomedycznych generowanych przez żołądek człowieka, PhD Thesis, Institute of Telecommunication and Acoustics, Faculty of Electronics, Wroclaw University of Technology, Wroclaw 2002.
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• [13] Świerczyński Z., Zagańczyk A.: Zastosowanie sieci neuronowych i algorytmów genetycznych w komputerowo wspomaganej diagnostyce EGG, Proc. of the Biocybernetics and Biomedical Engineering. XIII Krajowa Konferencja Naukowa, 2003, 231-236.