Decomposition of Surface EMG Signal and Its Mapping

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21230%2F13%3A00202722" target="_blank" >RIV/68407700:21230/13:00202722 - isvavai.cz</a>

Výsledek na webu

<a href="http://memory.biomed.cas.cz/FD2013/dokumenty/Sbornik_FD_2013.pdf" target="_blank" >http://memory.biomed.cas.cz/FD2013/dokumenty/Sbornik_FD_2013.pdf</a>

DOI - Digital Object Identifier

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Jazyk výsledku

angličtina

Název v původním jazyce

Decomposition of Surface EMG Signal and Its Mapping

Popis výsledku v původním jazyce

Work is concerned with developing of method for decomposing surface EMG signal with respect to the future use in automated prosthesis system. Proposed method is non invasive. It uses special multi channel electrode for obtaining signal from small surfacearea on palm (thumb) or other places on the body with high concentration of muscles having smooth motoric capability. Signal is then amplified with diferential amplifier and bandpass filtred and digitalized at high frequencies. Next step is evaluation of obtained signals (quality, noise ratio, etc.). Last step is automatic decomposition of recieved signal to basic MUAPs (motor unit action potentials). Methods involved in this step are cross-correlation, expectation maximalization algorithm and maximumaposteriori estimation. Silver pin electrode system have been elaborted and adapted to modified version of previously published amplifier for EEG and surface EMG recordings. This system allows detection signal with good signal to noise ra

Název v anglickém jazyce

Decomposition of Surface EMG Signal and Its Mapping

Popis výsledku anglicky

Work is concerned with developing of method for decomposing surface EMG signal with respect to the future use in automated prosthesis system. Proposed method is non invasive. It uses special multi channel electrode for obtaining signal from small surfacearea on palm (thumb) or other places on the body with high concentration of muscles having smooth motoric capability. Signal is then amplified with diferential amplifier and bandpass filtred and digitalized at high frequencies. Next step is evaluation of obtained signals (quality, noise ratio, etc.). Last step is automatic decomposition of recieved signal to basic MUAPs (motor unit action potentials). Methods involved in this step are cross-correlation, expectation maximalization algorithm and maximumaposteriori estimation. Silver pin electrode system have been elaborted and adapted to modified version of previously published amplifier for EEG and surface EMG recordings. This system allows detection signal with good signal to noise ra

Druh

O - Ostatní výsledky

CEP obor

JB - Senzory, čidla, měření a regulace

OECD FORD obor

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Projekt

<a href="/cs/project/LH12070" target="_blank" >LH12070: Výzkum metod psaní a editace textu pro pohybově postižené uživatele</a><br>

Návaznosti

P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Rok uplatnění

2013

Kód důvěrnosti údajů

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů