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Recognizing breathing rate and movement while sleeping in home environment

  • The recovery of our body and brain from fatigue directly depends on the quality of sleep, which can be determined from the results of a sleep study. The classification of sleep stages is the first step of this study and includes the measurement of vital data and their further processing. The non-invasive sleep analysis system is based on a hardware sensor network of 24 pressure sensors providing sleep phase detection. The pressure sensors are connected to an energy-efficient microcontroller via a system-wide bus. A significant difference between this system and other approaches is the innovative way in which the sensors are placed under the mattress. This feature facilitates the continuous use of the system without any noticeable influence on the sleeping person. The system was tested by conducting experiments that recorded the sleep of various healthy young people. Results indicate the potential to capture respiratory rate and body movement.

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Metadaten
Author of HS ReutlingenMartínez Madrid, Natividad
DOI:https://doi.org/10.1007/978-3-030-37277-4_38
ISBN:978-3-030-37276-7
Erschienen in:Applications in electronics pervading industry, environment and society : APPLEPIES 2019. - (Lecture notes in electrical engineering ; 627)
Publisher:Springer
Place of publication:Cham
Editor:Sergio Saponara, Alessandro De Gloria
Document Type:Conference Proceeding
Language:English
Year of Publication:2020
Page Number:7
First Page:333
Last Page:339
PPN:Im Katalog der Hochschule Reutlingen ansehen
DDC classes:610 Medizin, Gesundheit
Open Access?:Nein
Licence (German):License Logo  Lizenzbedingungen Springer