Deployment of Artificial Intelligence Models for Sleep Apnea Recognition in the Sleep Laboratory
- There are a large number of scientific publications that focus on the development and evaluation of artificial intelligence (AI) models for the detection of various pathologies in the field of sleep medicine. However, most of these publications do not show the process or methodology to be followed for the final deployment of these models in a complete diagnostic system (in terms of software and hardware). This is a major drawback when translating from the development or research environment to the real clinical setting. This work focuses on a methodology for deploying an AI model for sleep apnea detection with the end user in mind: the clinician. For the deployment, the transmission of data between the device, the cloud platform and the machine learning server, as well as the protocols used, were considered. In addition, the storage and visualization of the data has been taken into account so that it can be analyzed accurately by experts.
| Author: | Ángel Serrano Alarcón, Maksym GaidukORCiD, Natividad Martínez Madrid, Ralf SeepoldORCiDGND, Juan Antonio Ortega |
|---|---|
| DOI: | https://doi.org/10.1016/j.procs.2024.09.665 |
| 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: | Deep Learning; Slep/Wake estate; Artificial Intelligence; Sleep Disorder |
| First Page: | 5388 |
| Last Page: | 5395 |
| Note: | Corresponding author: Ángel Serrano Alarcón |
| 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 |
