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: | Daniel VelezORCiD, Maksym GaidukORCiD, Mostafa HaghiORCiD, Juan Antonio Ortega, Natividad Martínez Madrid, Ralf SeepoldORCiDGND |
|---|---|
| DOI: | https://doi.org/10.1016/j.procs.2024.09.663 |
| ISSN: | 1877-0509 |
| Parent Title (English): | 28th International Conference on Knowledge Based and Intelligent Information and Engineering Sytems, KES2024, 11 - 13 September, Seville, Spain (Procedia Computer Science, Vol. 246) |
| Volume: | 246 |
| Publisher: | Elsevier |
| Place of publication: | Amsterdam |
| Document Type: | Conference Proceeding |
| Language: | English |
| Year of Publication: | 2024 |
| Release Date: | 2024/11/29 |
| Tag: | Non-invasive; Sleep; Signal processing; Expert systems; Sleep medicine; SOA architecture; IoT; Health |
| First Page: | 5378 |
| Last Page: | 5387 |
| Note: | Corresponding author: Maksym Gaiduk, Daniel Vélez |
| Institutes: | Institut für Angewandte Forschung - IAF |
| DDC functional group: | 500 Naturwissenschaften und Mathematik |
| 600 Technik, Medizin, angewandte Wissenschaften | |
| Open Access?: | Ja |
| Relevance: | Konferenzbeitrag: h5-Index > 30 |
| Licence (German): |  Creative Commons - CC BY-NC-ND - Namensnennung - Nicht kommerziell - Keine Bearbeitungen 4.0 International |
