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Conception of a home-based sleep apnoea identification and monitoring system

  • Healthy sleep is one of the prerequisites for a good human body and brain condition, including general well-being. Unfortunately, there are several sleep disorders that can negatively affect this. One of the most common is sleep apnoea, in which breathing is impaired. Studies have shown that this disorder often remains undiagnosed. To avoid this, developing a system that can be widely used in a home environment to detect apnoea and monitor the changes once therapy has been initiated is essential. The conceptualisation of such a system is the main aim of this research. After a thorough analysis of the available literature and state of the art in this area of knowledge, a concept of the system was created, which includes the following main components: data acquisition (including two parts), storage of the data, apnoea detection algorithm, user and device management, data visualisation. The modules are interchangeable, and interfaces have been defined for data transfer, most of which operate using the MQTT protocol. System diagrams and detailed component descriptions, including signal requirements and visualisation mockups, have also been developed. The system's design includes the necessary concepts for the implementation and can be realised in a prototype in the next phase.

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Author of HS ReutlingenMartínez Madrid, Natividad; Serrano Alarcón, Ángel
Erschienen in:Procedia computer science
Place of publication:Amsterdam
Document Type:Journal article
Publication year:2023
Tag:sleep efficiency; sleep study; subjective sleep assessment
Issue:27th International Conference on Knowledge Based and Intelligent Information and Engineering Sytems (KES 2023)
Page Number:10
First Page:3795
Last Page:3804
DDC classes:004 Informatik
Open access?:Ja
Licence (German):License Logo  Creative Commons - CC BY-NC-ND - Namensnennung - Nicht kommerziell - Keine Bearbeitungen 4.0 International