TY  - CHAP
U1  - Konferenzveröffentlichung
A1  - Gaiduk, Maksym
A1  - Weber, Lucas
A1  - Serrano Alarcón, Ángel
A1  - Seepold, Ralf
A1  - Martínez Madrid, Natividad
A1  - Orcioni, Simone
A1  - Conti, Massimo
T1  - Design of a sleep apnoea detection system for a home environment
T2  - Knowledge-Based and Intelligent Information & Engineering Systems: Proceedings of the 25th International Conference KES2021, 8 - 10 September 2021, Szczecin, Poland, (Procedia Computer Science)
N2  - 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.
KW  - Sleep apnoea
KW  - Impedance measurement
KW  - System design
Y1  - 2021
SN  - 1877-0509
SS  - 1877-0509
U6  - https://doi.org/10.1016/j.procs.2021.09.095
DO  - https://doi.org/10.1016/j.procs.2021.09.095
VL  - 192
SP  - 3225
EP  - 3234
PB  - Elsevier
ER  -