Embedded system for non-obtrusive sleep apnea detection
- This document presents a new complete standalone system for a recognition of sleep apnea using signals from the pressure sensors placed under the mattress. The developed hardware part of the system is tuned to filter and to amplify the signal. Its software part performs more accurate signal filtering and identification of apnea events. The overall achieved accuracy of the recognition of apnea occurrence is 91%, with the average measured recognition delay of about 15 seconds, which confirms the suitability of the proposed method for future employment. The main aim of the presented approach is the support of the healthcare system with the cost-efficient tool for recognition of sleep apnea in the home environment.
| Author: | Maksym GaidukORCiD, Simone OrcioniORCiD, Massimo ContiORCiD, Ralf SeepoldORCiDGND, Thomas PenzelORCiDGND, Natividad Martinez MadridORCiD, Juan Antonio OrtegaORCiD |
|---|---|
| DOI: | https://doi.org/10.1109/EMBC44109.2020.9176075 |
| ISBN: | 978-1-7281-1990-8 |
| Parent Title (English): | 42nd Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC 2020), 20-24 July 2020, Montreal, QC, Canada, virtual |
| Document Type: | Conference Proceeding |
| Language: | English |
| Year of Publication: | 2020 |
| Release Date: | 2020/12/19 |
| Tag: | Sleep apnea; Pressure sensors; Low-pass filters |
| First Page: | 2776 |
| Last Page: | 2779 |
| Note: | Volltextzugriff für Angehörige der Hochschule Konstanz via IEEE Xplore möglich |
| Institutes: | Fakultät Informatik |
| DDC functional group: | 600 Technik, Medizin, angewandte Wissenschaften |
| Relevance: | Keine peer reviewed Publikation (Wissenschaftlicher Artikel und Aufsatz, Proceeding, Artikel in Tagungsband) |
| Open Access?: | Nein |
| Licence (German): |  Urheberrechtlich geschützt |
