EMG Signal Decomposition Methods and Their Possible Usage in Active Prothesis

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21230%2F12%3A00206481" target="_blank" >RIV/68407700:21230/12:00206481 - isvavai.cz</a>

Výsledek na webu

<a href="http://epilepsy.biomed.cas.cz/hb2012/HB2012_files/HB2012_abstracts.pdf" target="_blank" >http://epilepsy.biomed.cas.cz/hb2012/HB2012_files/HB2012_abstracts.pdf</a>

DOI - Digital Object Identifier

—

Jazyk výsledku

angličtina

Název v původním jazyce

EMG Signal Decomposition Methods and Their Possible Usage in Active Prothesis

Popis výsledku v původním jazyce

This work is concerned with developing of method for decomposing surface EMG signal with respect to the future use in automated prosthesis system. Currently it is a first study for alternative computer interface input project. The main point of current work is to create map of best areas on human body suitable for recognition - decomposition with maximum of uniqe signals (MUAPTs). Proposed method is non invasive. It uses special 4 channel differential electrode for obtaining signal from small surface area on palm (thumb) or other places on the body with high concentration of muscles having smooth motoric capability. Signal is then obviously filtrated via highpass and low pass filter 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 MUAPTs. Methods involved in this step are cross-correlation, EM algorithm a MAP estimation. Output of this work is a study of suitab

Název v anglickém jazyce

EMG Signal Decomposition Methods and Their Possible Usage in Active Prothesis

Popis výsledku anglicky

This work is concerned with developing of method for decomposing surface EMG signal with respect to the future use in automated prosthesis system. Currently it is a first study for alternative computer interface input project. The main point of current work is to create map of best areas on human body suitable for recognition - decomposition with maximum of uniqe signals (MUAPTs). Proposed method is non invasive. It uses special 4 channel differential electrode for obtaining signal from small surface area on palm (thumb) or other places on the body with high concentration of muscles having smooth motoric capability. Signal is then obviously filtrated via highpass and low pass filter 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 MUAPTs. Methods involved in this step are cross-correlation, EM algorithm a MAP estimation. Output of this work is a study of suitab

Druh

O - Ostatní výsledky

CEP obor

JC - Počítačový hardware a software

OECD FORD obor

—

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

2012

Kód důvěrnosti údajů

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