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

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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/predkladatel
http://linked.open...avai/riv/aktivita
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
http://linked.open...aciTvurceVysledku
http://linked.open.../riv/druhVysledku
http://linked.open...iv/duvernostUdaju
http://linked.open...titaPredkladatele
http://linked.open...dnocenehoVysledku
  • 237230
http://linked.open...ai/riv/idVysledku
  • RIV/61989100:27240/11:86078773
http://linked.open...riv/jazykVysledku
http://linked.open.../riv/klicovaSlova
  • FFT analysis; Windows Mobile; hypnogram; sleep stages detection (en)
http://linked.open.../riv/klicoveSlovo
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
http://linked.open...ichTvurcuVysledku
http://linked.open...cetTvurcuVysledku
http://linked.open...vavai/riv/projekt
http://linked.open...UplatneniVysledku
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
http://bibframe.org/vocab/doi
  • 10.3390/s110606037
http://localhost/t...ganizacniJednotka
  • 27240
is http://linked.open...avai/riv/vysledek of
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