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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.

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Author:Maksym GaidukORCiD, Simone OrcioniORCiD, Massimo ContiORCiD, Ralf SeepoldORCiDGND, Thomas PenzelORCiDGND, Natividad Martinez MadridORCiD, Juan Antonio OrtegaORCiD
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
Year of Publication:2020
Release Date:2020/12/19
Tag:Sleep apnea; Pressure sensors; Low-pass filters
First Page:2776
Last Page:2779
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):License LogoUrheberrechtlich geschützt