Volltext-Downloads (blau) und Frontdoor-Views (grau)

Design of a sleep apnoea detection system for a home environment

  • Normal breathing during sleep is essential for people’s health and well-being. Therefore, it is crucial to diagnose apnoea events at an early stage and apply appropriate therapy. Detection of sleep apnoea is a central goal of the system design described in this article. To develop a correctly functioning system, it is first necessary to define the requirements outlined in this manuscript clearly. Furthermore, the selection of appropriate technology for the measurement of respiration is of great importance. Therefore, after performing initial literature research, we have analysed in detail three different methods and made a selection of a proper one according to determined requirements. After considering all the advantages and disadvantages of the three approaches, we decided to use the impedance measurement-based one. As a next step, an initial conceptual design of the algorithm for detecting apnoea events was created. As a result, we developed an activity diagram on which the main system components and data flows are visually represented.

Export metadata

Additional Services

Search Google Scholar

Statistics

frontdoor_oas
Metadaten
Author:Maksym GaidukORCiD, Lucas Weber, Ángel Serrano AlarcónORCiD, Ralf SeepoldORCiDGND, Natividad Martínez MadridORCiD, Simone OrcioniORCiD, Massimo ContiORCiD
DOI:https://doi.org/10.1016/j.procs.2021.09.095
ISSN:1877-0509
Parent Title (English):Knowledge-Based and Intelligent Information & Engineering Systems: Proceedings of the 25th International Conference KES2021, 8 - 10 September 2021, Szczecin, Poland, (Procedia Computer Science)
Volume:192
Publisher:Elsevier
Document Type:Conference Proceeding
Language:English
Year of Publication:2021
Release Date:2021/10/07
Tag:Sleep apnoea; Impedance measurement; System design
First Page:3225
Last Page:3234
Institutes:Fakultät Informatik
Open Access?:Ja
Relevance:Peer reviewed nach anderen Listungen (mit Nachweis zum Peer Review Verfahren)
Licence (German):License LogoCreative Commons - CC BY-NC-ND - Namensnennung - Nicht kommerziell - Keine Bearbeitungen 4.0 International