Support vector machine for MUAP scalograms classification

• Autorzy: Dobrowolski A. , Wierzbowski M. , Tomczykiewicz K.

Warianty tytułu

PL

Metoda diagnostyczna oparta na analizie skalogramów wyznaczonych za pomocą falek

• Języki publikacji: EN

Abstrakty

EN

The paper presents a new approach to the computer aided diagnostic systems for the needs of quantitative electromyography. The approach is based on the analysis of wavelet scalograms of the motor unit action potentials calculated on the basis of 4th order Symlet wavelet. The scalograms provide the vector consisting of six features describing the state of a muscle. The vectors serve to carry out a classification of pathology by using support vector machines method.

PL

W referacie przedstawiono nową metodę diagnostyczną opartą na analizie skalogramów wyznaczonych za pomocą falek Symlet 4. Z otrzymanych skalogramów wyekstrahowano 6 cech, które posłużyły do klasyfikacji rodzaju patologii przeprowadzonej z wykorzystaniem metody maszyn wektorów nośnych. Implementacja programowa metody stworzy narzędzie diagnostyczne wspomagające badanie EMG o wysokim prawdopodobieństwie prawidłowej oceny stanu mięśnia.

Słowa kluczowe

EN

SVM; SMO

PL

PJR; SVM; SMO

• Wydawca: Wydawnictwo SIGMA-NOT
• Czasopismo: Przegląd Elektrotechniczny
• Rocznik: 2008
• Tom: R. 84, nr 12
• Strony: 335--338
• Opis fizyczny: Bibliogr. 20 poz., rys., tab.

Twórcy

autor

Dobrowolski A.

autor

Wierzbowski M.

autor

Tomczykiewicz K.

• Military University of Technology, Institute of Electronic Systems, 2. Kaliskiego St., 00-908 Warsaw,

Bibliografia

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