Design of a sleep apnoea detection system for a home environment
Gaiduk M, Weber L, Alarcón ÁS, Seepold R, Madrid NM, Orcioni S, Conti M (2021)
Publication Type: Conference contribution
Publication year: 2021
Journal
Publisher: Elsevier B.V.
Book Volume: 192
Pages Range: 3225-3234
Conference Proceedings Title: Procedia Computer Science
Event location: Szczecin, POL
DOI: 10.1016/j.procs.2021.09.095
Abstract
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.
Authors with CRIS profile
Involved external institutions
Hochschule Konstanz University of Applied Sciences (HTWG)
Germany (DE)
Hochschule Reutlingen
Germany (DE)
Università Politecnica delle Marche (UNIVPM) / Marche Polytechnic University
Italy (IT)
Germany (DE)
Hochschule Reutlingen
Germany (DE)
Università Politecnica delle Marche (UNIVPM) / Marche Polytechnic University
Italy (IT)
How to cite
APA:
Gaiduk, M., Weber, L., Alarcón, Á.S., Seepold, R., Madrid, N.M., Orcioni, S., & Conti, M. (2021). Design of a sleep apnoea detection system for a home environment. In Jaroslaw Watrobski, Wojciech Salabun, Carlos Toro, Cecilia Zanni-Merk, Robert J. Howlett, Lakhmi C. Jain, Lakhmi C. Jain (Eds.), Procedia Computer Science (pp. 3225-3234). Szczecin, POL: Elsevier B.V..
MLA:
Gaiduk, Maksym, et al. "Design of a sleep apnoea detection system for a home environment." Proceedings of the 25th KES International Conference on Knowledge-Based and Intelligent Information and Engineering Systems, KES 2021, Szczecin, POL Ed. Jaroslaw Watrobski, Wojciech Salabun, Carlos Toro, Cecilia Zanni-Merk, Robert J. Howlett, Lakhmi C. Jain, Lakhmi C. Jain, Elsevier B.V., 2021. 3225-3234.
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