Analysis of surface myoelectric signals by linear prediction method
| Autor: | Janusz Jaszczuk, Ireneusz Codello, Waldemar Suszyński, Rafał Stęgierski, Wiesława Kuniszyk-Jóźkowiak, Karol Kuczyński |
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| Rok vydání: | 2016 |
| Předmět: |
05 social sciences
Mathematical analysis Linear prediction Biceps Industrial and Manufacturing Engineering body regions Motor unit 03 medical and health sciences symbols.namesake 0302 clinical medicine medicine.anatomical_structure Amplitude Fourier transform Forearm Fourier analysis Control theory Muscle tension medicine symbols 0501 psychology and cognitive sciences 050107 human factors 030217 neurology & neurosurgery Mathematics |
| Zdroj: | Annales Universitatis Mariae Curie-Sklodowska, sectio AI – Informatica. 16:62 |
| ISSN: | 2083-3628 1732-1360 |
| DOI: | 10.17951/ai.2016.16.1.62 |
| Popis: | 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. |
| Databáze: | OpenAIRE |
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