Using of backaveraging in EEG and EMG signals

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21230%2F13%3A00212162" target="_blank" >RIV/68407700:21230/13:00212162 - isvavai.cz</a>

Výsledek na webu

<a href="http://radio.feld.cvut.cz/conf/poster2013/" target="_blank" >http://radio.feld.cvut.cz/conf/poster2013/</a>

DOI - Digital Object Identifier

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Jazyk výsledku

angličtina

Název v původním jazyce

Using of backaveraging in EEG and EMG signals

Popis výsledku v původním jazyce

The Jerk-locked backaveraging is the method for bio-signal processing used especially in the field of neurology and neuroscience. The goal is to find if there is any connection between involuntary muscle movements or jerks and preceding neurological activity. This paper summarizes the basic principles of this method and requirements for signals which are needed, such as type of signals, sampling frequency etc. One of the necessary prerequisity is to determine EMG bursts onsets, which serves as a synchronization points for the following averaging. Several EMG onsets detection methods are described also with signal preprocessing enabling EMG detection. All methods are applied to signals recorded from real patient, who suffers from involuntary muscles jerks. All methods are compared, designating the BSCD onset detection method as the best result, because of highest peak-to-peak amplitudes after back-averaging.

Název v anglickém jazyce

Using of backaveraging in EEG and EMG signals

Popis výsledku anglicky

The Jerk-locked backaveraging is the method for bio-signal processing used especially in the field of neurology and neuroscience. The goal is to find if there is any connection between involuntary muscle movements or jerks and preceding neurological activity. This paper summarizes the basic principles of this method and requirements for signals which are needed, such as type of signals, sampling frequency etc. One of the necessary prerequisity is to determine EMG bursts onsets, which serves as a synchronization points for the following averaging. Several EMG onsets detection methods are described also with signal preprocessing enabling EMG detection. All methods are applied to signals recorded from real patient, who suffers from involuntary muscles jerks. All methods are compared, designating the BSCD onset detection method as the best result, because of highest peak-to-peak amplitudes after back-averaging.

Druh

D - Stať ve sborníku

CEP obor

JA - Elektronika a optoelektronika, elektrotechnika

OECD FORD obor

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Projekt

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Návaznosti

S - Specificky vyzkum na vysokych skolach

Rok uplatnění

2013

Kód důvěrnosti údajů

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

Název statě ve sborníku

POSTER 2013 - 17th International Student Conference on Electrical Engineering

ISBN

978-80-01-05242-6

ISSN

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e-ISSN

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Počet stran výsledku

5

Strana od-do

1-5

Název nakladatele

Czech Technical University

Místo vydání

Prague

Místo konání akce

Prague

Datum konání akce

16. 5. 2013

Typ akce podle státní příslušnosti

EUR - Evropská akce

Kód UT WoS článku

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