TY  - CPAPER
U1  - Konferenzveröffentlichung
A1  - Vélez, Daniel
A1  - Gaiduk, Maksym
A1  - Haghi, Mostafa
A1  - Ortega, Juan Antonio
A1  - Martínez Madrid, Natividad
A1  - Seepold, Ralf
T1  - Non-invasive system for sleep assessment: software components and information flow
T2  - Procedia computer science
N2  - The importance of sleep in the life of a human being to function in nowadays society is known from a large number of studies. A standard method for sleep analysis is polysomnography (PSG), which uses multiple sensors to measure and analyze multiple signals, allowing precise and detailed sleep analysis. Nonetheless, the cost of using PSG technologies is high in terms of complexity, personnel and time. To overcome these shortcomings, alternative solutions can be used to reduce costs and increase comfort for patients. The objective of this work is to design and develop a prototype of the software component of the sleep analysis system, taking into account the aspects of data flow, data storage and user interface in addition to data processing. The software components implemented and developed in the Morpheus System and described in this article comprise a usable platform capable of assisting custom research implementations in IoT.
KW  - non-invasive
KW  - sleep medicine
KW  - SOA architecture
KW  - IoT
KW  - health
KW  - sleep
KW  - signal processing
KW  - expert systems
Y1  - 2024
UN  - https://nbn-resolving.org/urn:nbn:de:bsz:rt2-opus4-53089
SN  - 1877-0509
SS  - 1877-0509
U6  - https://doi.org/10.1016/j.procs.2024.09.663
DO  - https://doi.org/10.1016/j.procs.2024.09.663
VL  - 246
SP  - 5378
EP  - 5387
S1  - 10
PB  - Elsevier
CY  - Amsterdam
ER  -