Non-invasive system for sleep assessment: software components and information flow
- 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.
| Author of HS Reutlingen | Martínez Madrid, Natividad |
|---|---|
| URN: | urn:nbn:de:bsz:rt2-opus4-53089 |
| DOI: | https://doi.org/10.1016/j.procs.2024.09.663 |
| ISSN: | 1877-0509 |
| Erschienen in: | Procedia computer science |
| Publisher: | Elsevier |
| Place of publication: | Amsterdam |
| Document Type: | Conference proceeding |
| Language: | English |
| Publication year: | 2024 |
| Tag: | IoT; SOA architecture; expert systems; health; non-invasive; signal processing; sleep; sleep medicine |
| Volume: | 246 |
| Page Number: | 10 |
| First Page: | 5378 |
| Last Page: | 5387 |
| DDC classes: | 004 Informatik |
| Open access?: | Ja |
| Licence (German): |  Creative Commons - CC BY-NC-ND - Namensnennung - Nicht kommerziell - Keine Bearbeitungen 4.0 International |
