Analysis of surface myoelectric signals by linear prediction method

• Autorzy: Suszyński W. , Kuniszyk-Jóźkowiak W. , Jaszczuk J. , Codello I. , Stęgierski R. , Kuczyński K.

Identyfikatory

DOI

10.17951/ai.2016.16.1.62

• Języki publikacji: EN

Abstrakty

EN

The article presents a proposal to use linear prediction method for a quick analysis of surface myoelectric (EMG) signals. The spectra obtained with the linear prediction (LP) and Fourier methods were compared. The LP method allows for a precise determination of the location and amplitude of the spectrum maximum and observation of changes in muscle tension and contraction phases. EMG spectra of brachial biceps during flexion and extension of the forearm by four adults were analyzed. The optimal width of the time window for the averaging of motor unit action potentials that allows for the observation of changes during contraction was established. It has been found that maximum spectrum during flexion has a significantly higher frequency and amplitude than during the extension of the forearm.

Słowa kluczowe

EN

EMG; linear prediction; Fourier analysis; frequency spectrum

• Wydawca: Wydawnictwo UMCS
• Czasopismo: Annales Universitatis Mariae Curie-Skłodowska. Sectio AI, Informatica
• Rocznik: 2016
• Tom: Vol. 16, no. 1
• Strony: 62--70
• Opis fizyczny: Bibliogr. 20 poz., rys.

Twórcy

autor

Suszyński W.

• Institute of Computer Science, Maria Curie Sklodowska University in Lublin

autor

Kuniszyk-Jóźkowiak W.

• Institute of Computer Science, Maria Curie Sklodowska University in Lublin
• Faculty of Physical Education and Sport in Biała Podlaska, Józef Piłsudski University of Physical Education in Warsaw

autor

Jaszczuk J.

• Faculty of Physical Education and Sport in Biała Podlask, Józef Piłsudski University of Physical Education in Warsaw

autor

Codello I.

• Institute of Computer Science, Maria Curie Sklodowska University in Lublin

autor

Stęgierski R.

• Institute of Computer Science, Maria Curie Sklodowska University in Lublin

autor

Kuczyński K.

• Institute of Computer Science, Maria Curie Sklodowska University in Lublin

Bibliografia

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Uwagi

Opracowanie ze środków MNiSW w ramach umowy 812/P-DUN/2016 na działalność upowszechniającą naukę (zadania 2017).