TY  - JOUR
U1  - Wissenschaftlicher Artikel
A1  - Gaiduk, Maksym
A1  - Serrano Alarcón, Ángel
A1  - Seepold, Ralf
A1  - Martínez Madrid, Natividad
T1  - Conception of a home-based sleep apnoea identification and monitoring system
JF  - Procedia computer science
N2  - 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.
KW  - sleep efficiency
KW  - sleep study
KW  - subjective sleep assessment
Y1  - 2023
UN  - https://nbn-resolving.org/urn:nbn:de:bsz:rt2-opus4-46572
SN  - 1877-0509
SS  - 1877-0509
U6  - https://doi.org/10.1016/j.procs.2023.10.375
DO  - https://doi.org/10.1016/j.procs.2023.10.375
VL  - 225
IS  - 27th International Conference on Knowledge Based and Intelligent Information and Engineering Sytems (KES 2023)
SP  - 3795
EP  - 3804
S1  - 10
PB  - Elsevier
CY  - Amsterdam
ER  -