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  4. Nocturnal Respiration Pattern of healthy people as a hint for sleep state detection
 
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2019
Conference Paper
Title

Nocturnal Respiration Pattern of healthy people as a hint for sleep state detection

Abstract
Sleep state detection is important to distinguish between a healthy sleep and sleep disorders. Common sleep state analysis methods consist of identifying signals of EEG, EOG, or EMG etc. that can only be assessed in sleep laboratories. The respiration rate and pattern are also affected by the sleep states but are not included in the sleep state analysis method. Since sleep is very important for the recreation of humans, we assume that sleep is mirroring the strain of the day and the general health condition. In our research, we identified a certain respiration rate pattern during sleep in 5 out of 17 healthy persons that might be an identifier for sleep states or for interactions of daytime activity and sleep. Therefore, we introduce this new respiration pattern as ""pumping breathing"" and compare it with other known respiration patterns.
Author(s)
Krause, Silvio
Fraunhofer-Institut für Graphische Datenverarbeitung IGD  
Haescher, Marian  
Fraunhofer-Institut für Graphische Datenverarbeitung IGD  
Chodan, Wencke  
Fraunhofer-Institut für Graphische Datenverarbeitung IGD  
Bieber, Gerald  
Fraunhofer-Institut für Graphische Datenverarbeitung IGD  
Mainwork
PETRA 2019, 12th ACM International Conference on PErvasive Technologies Related to Assistive Environments. Proceedings  
Conference
International Conference on PErvasive Technologies Related to Assistive Environments (PETRA) 2019  
DOI
10.1145/3316782.3324015
Language
English
Fraunhofer-Institut für Graphische Datenverarbeitung IGD  
Keyword(s)
  • pattern recognition

  • Lead Topic: Individual Health

  • Research Line: Human computer interaction (HCI)

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