@inproceedings{GaidukOrcioniContietal.2020, author = {Gaiduk, Maksym and Orcioni, Simone and Conti, Massimo and Seepold, Ralf and Penzel, Thomas and Mart{\´i}nez Madrid, Natividad and Ortega, Juan}, title = {Embedded system for non-obtrusive sleep apnea detection}, booktitle = {2020 42nd Annual International Conference of the IEEE Engineering in Medicine \& Biology Society (EMBC) : 20-24 July 2020, Montreal, Canada, proceedings}, isbn = {978-1-7281-1990-8}, issn = {2694-0604}, doi = {10.1109/EMBC44109.2020.9176075}, institution = {Informatik}, pages = {2776 -- 2779}, year = {2020}, abstract = {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.}, language = {en} }