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

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About: Use of Mobile Phones as Intelligent Sensors for Sound Input Analysis and Sleep State Detection Goto Sponge NotDistinct Permalink

An Entity of Type : http://linked.opendata.cz/ontology/domain/vavai/Vysledek, within Data Space : linked.opendata.cz associated with source document(s)

Attributes	Values
rdf:type	skos:Concept http://linked.opendata.cz/ontology/domain/vavai/Vysledek
Description	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. 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. (en)
Title	Use of Mobile Phones as Intelligent Sensors for Sound Input Analysis and Sleep State Detection Use of Mobile Phones as Intelligent Sensors for Sound Input Analysis and Sleep State Detection (en)
skos:prefLabel	Use of Mobile Phones as Intelligent Sensors for Sound Input Analysis and Sleep State Detection Use of Mobile Phones as Intelligent Sensors for Sound Input Analysis and Sleep State Detection (en)
skos:notation	RIV/61989100:27240/11:86078773!RIV12-MSM-27240___
http://linked.open...avai/riv/aktivita	P S
http://linked.open...avai/riv/aktivity	P(1M0567), P(GAP403/10/1310), S
http://linked.open...iv/cisloPeriodika	11
http://linked.open...vai/riv/dodaniDat	2012
http://linked.open...aciTvurceVysledku	Jirka, Jakub Krejcar, Ondřej Janckulík, Dalibor
http://linked.open.../riv/druhVysledku	J - Článek v odborném periodiku
http://linked.open...iv/duvernostUdaju	S - Úplné a pravdivé údaje nepodléhající ochraně podle zvláštních právních předpisů
http://linked.open...titaPredkladatele	Vysoká škola báňská - Technická univerzita Ostrava / Fakulta elektrotechniky a informatiky
http://linked.open...dnocenehoVysledku	237230
http://linked.open...ai/riv/idVysledku	RIV/61989100:27240/11:86078773
http://linked.open...riv/jazykVysledku	eng - angličtina
http://linked.open.../riv/klicovaSlova	FFT analysis; Windows Mobile; hypnogram; sleep stages detection (en)
http://linked.open.../riv/klicoveSlovo	Windows Mobile hypnogram sleep stages detection FFT analysis
http://linked.open...odStatuVydavatele	CH - Švýcarská konfederace
http://linked.open...ontrolniKodProRIV	[38BD9B257F28]
http://linked.open...i/riv/nazevZdroje	Sensors
http://linked.open...in/vavai/riv/obor	JB
http://linked.open...ichTvurcuVysledku	3 (xsd:int)
http://linked.open...cetTvurcuVysledku	3 (xsd:int)
http://linked.open...vavai/riv/projekt	Centre for Applied Cybernetics SMEW - Smart Environments at Workplaces
http://linked.open...UplatneniVysledku	2011
http://linked.open...v/svazekPeriodika	2011
http://linked.open...iv/tvurceVysledku	Jirka, Jakub Krejcar, Ondřej Janckulík, Dalibor
http://linked.open...ain/vavai/riv/wos	000292026400030
issn	1424-8220
number of pages	19 (xsd:int)
http://bibframe.org/vocab/doi	10.3390/s110606037
http://localhost/t...ganizacniJednotka	27240

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