Time–frequency Analysis of the EMG Digital Signals

• Autorzy: Kuniszyk-Jóźkowiak W. , Jaszczuk J. , Sacewicz T. , Codello I.

Identyfikatory

DOI

10.2478/v10065-012-0001-7

• Języki publikacji: EN

Abstrakty

EN

In the article comparison of time-frequency spectra of EMG signals obtained by the following methods: Fast Fourier Transform, predictive analysis and wavelet analysis is presented. The EMG spectra of biceps and triceps while an adult man was flexing his arm were analysed. The advantages of the predictive analysis were shown as far as averaging of the spectra and determining the main maxima are concerned. The Continuous Wavelet Transform method was applied, which allows for the proper distribution of the scales, aiming at an accurate analysis and localisation of frequency maxima as well as the identification of impulses which are characteristic of such signals (bursts) in the scale of time. The modified Morlet wavelet was suggested as the mother wavelet. The wavelet analysis allows for the examination of the changes in the frequency spectrum in particular stages of the muscle contraction. Predictive analysis may also be very useful while smoothing and averaging the EMG signal spectrum in time.

Słowa kluczowe

EN

time-frequency analysis; EMG signal; Fast Fourier Transform; predictive analytics; wavelet analysis

• Wydawca: Wydawnictwo UMCS
• Czasopismo: Annales Universitatis Mariae Curie-Skłodowska. Sectio AI, Informatica
• Rocznik: 2012
• Tom: Vol. 12, no. 2
• Strony: 20--25
• Opis fizyczny: Bibliogr. 15 poz., rys.

Twórcy

autor

Kuniszyk-Jóźkowiak W.

• Institute of Computer Science, Maria Curie-Skłodowska University, pl. M. Curie-Skłodowskiej 1, 20-036 Lublin, Poland
• Department of Biomechanics and Computer Science, External Faculty of Physical Education in Biała Podlaska, Academy of Physical Education in Warsaw

autor

Jaszczuk J.

• Department of Biomechanics and Computer Science, External Faculty of Physical Education in Biała Podlaska, Academy of Physical Education in Warsaw

autor

Sacewicz T.

• Department of Biomechanics and Computer Science, External Faculty of Physical Education in Biała Podlaska Ac,ademy of Physical Education in Warsaw

autor

Codello I.

• Institute of Computer Science, Maria Curie-Skłodowska University, pl. M. Curie-Skłodowskiej 1, 20-036 Lublin, Poland

Bibliografia

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