Cognitive Event-Related Potential Waveform Latency Determination: Based on Result of Matching Pursuit Algorithm and Hilbert-Huang Transform

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F49777513%3A23520%2F13%3A43928534" target="_blank" >RIV/49777513:23520/13:43928534 - isvavai.cz</a>

Výsledek na webu

<a href="http://dx.doi.org/10.1109/BMEI.2013.6746935" target="_blank" >http://dx.doi.org/10.1109/BMEI.2013.6746935</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1109/BMEI.2013.6746935" target="_blank" >10.1109/BMEI.2013.6746935</a>

Jazyk výsledku

angličtina

Název v původním jazyce

Cognitive Event-Related Potential Waveform Latency Determination: Based on Result of Matching Pursuit Algorithm and Hilbert-Huang Transform

Popis výsledku v původním jazyce

According to the statistics of car accident causes [11] given by Police of the Czech Republic, about 17.5 % of all car accidents are caused by lack of dedication to driving, including microsleep. A lot of car factories develop systems for fatigue prediction and microsleep detection. These systems are usually based on eye movement tracking or steering wheel movement analysis. But both these methods detect consequences of fatigue. From road safety point of view, it would be useful to be able to detect fatigue itself before it affects dedication to driving. We know there could be a correlation between cognitive eventrelated potential (ERP) waveform latency and the rate of attention ? the longest the latency is, the more tired the measured subject is. Thispaper deals with determination of latency of a cognitive ERP waveform from outputs of two algorithms we use for its detection and which we have the best experience with.

Název v anglickém jazyce

Cognitive Event-Related Potential Waveform Latency Determination: Based on Result of Matching Pursuit Algorithm and Hilbert-Huang Transform

Popis výsledku anglicky

According to the statistics of car accident causes [11] given by Police of the Czech Republic, about 17.5 % of all car accidents are caused by lack of dedication to driving, including microsleep. A lot of car factories develop systems for fatigue prediction and microsleep detection. These systems are usually based on eye movement tracking or steering wheel movement analysis. But both these methods detect consequences of fatigue. From road safety point of view, it would be useful to be able to detect fatigue itself before it affects dedication to driving. We know there could be a correlation between cognitive eventrelated potential (ERP) waveform latency and the rate of attention ? the longest the latency is, the more tired the measured subject is. Thispaper deals with determination of latency of a cognitive ERP waveform from outputs of two algorithms we use for its detection and which we have the best experience with.

Druh

D - Stať ve sborníku

CEP obor

IN - Informatika

OECD FORD obor

—

Projekt

—

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

BMEI 2013

ISBN

978-1-4799-2761-6

ISSN

1948-2914

e-ISSN

—

Počet stran výsledku

6

Strana od-do

209-214

Název nakladatele

IEEE

Místo vydání

Piscataway

Místo konání akce

Hangzhou, Čína

Datum konání akce

16. 12. 2013

Typ akce podle státní příslušnosti

WRD - Celosvětová akce

Kód UT WoS článku

000351608200040