Use of Mobile Phones as Intelligent Sensors for Sound Input Analysis and Sleep State Detection

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61989100%3A27240%2F11%3A86078773" target="_blank" >RIV/61989100:27240/11:86078773 - isvavai.cz</a>

Nalezeny alternativní kódy

RIV/62690094:18450/11:10067245

Výsledek na webu

<a href="http://dx.doi.org/10.3390/s110606037" target="_blank" >http://dx.doi.org/10.3390/s110606037</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.3390/s110606037" target="_blank" >10.3390/s110606037</a>

Jazyk výsledku

angličtina

Název v původním jazyce

Use of Mobile Phones as Intelligent Sensors for Sound Input Analysis and Sleep State Detection

Popis výsledku v původním jazyce

Sleep is not just a passive process, but rather a highly dynamic process that is terminated by waking up. Throughout the night a specific number of sleep stages that are repeatedly changing in various periods of time take place. These specific time intervals and specific sleep stages are very important for the wake up event. It is far more difficult to wake up during the deep NREM (2-4) stage of sleep because the rest of the body is still sleeping. On the other hand if we wake up during the mild (REM, NREM1) sleep stage it is a much more pleasant experience for us. This problem led the authors to undertake this study and develop a Windows Mobile application. The wakeNsmile application records and monitors the sleep stages for specific amounts of time before a desired alarm time set by users. It uses a built-in microphone and determines the optimal time to wake the user up.

Název v anglickém jazyce

Use of Mobile Phones as Intelligent Sensors for Sound Input Analysis and Sleep State Detection

Popis výsledku anglicky

Sleep is not just a passive process, but rather a highly dynamic process that is terminated by waking up. Throughout the night a specific number of sleep stages that are repeatedly changing in various periods of time take place. These specific time intervals and specific sleep stages are very important for the wake up event. It is far more difficult to wake up during the deep NREM (2-4) stage of sleep because the rest of the body is still sleeping. On the other hand if we wake up during the mild (REM, NREM1) sleep stage it is a much more pleasant experience for us. This problem led the authors to undertake this study and develop a Windows Mobile application. The wakeNsmile application records and monitors the sleep stages for specific amounts of time before a desired alarm time set by users. It uses a built-in microphone and determines the optimal time to wake the user up.

Druh

J_x - Nezařazeno - Článek v odborném periodiku (Jimp, Jsc a Jost)

CEP obor

JB - Senzory, čidla, měření a regulace

OECD FORD obor

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Projekt

Výsledek vznikl pri realizaci vícero projektů. Více informací v záložce Projekty.

Návaznosti

P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)<br>S - Specificky vyzkum na vysokych skolach

Rok uplatnění

2011

Kód důvěrnosti údajů

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

Název periodika

Sensors

ISSN

1424-8220

e-ISSN

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Svazek periodika

2011

Číslo periodika v rámci svazku

11

Stát vydavatele periodika

CH - Švýcarská konfederace

Počet stran výsledku

19

Strana od-do

6037-6055

Kód UT WoS článku

000292026400030

EID výsledku v databázi Scopus

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