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Accelerometer based system for unobtrusive sleep apnea detection

  • Sleep is an essential part of human existence, as we are in this state for approximately a third of our lives. Sleep disorders are common conditions that can affect many aspects of life. Sleep disorders are diagnosed in special laboratories with a polysomnography system, a costly procedure requiring much effort for the patient. Several systems have been proposed to address this situation, including performing the examination and analysis at the patient's home, using sensors to detect physiological signals automatically analysed by algorithms. This work aims to evaluate the use of a contactless respiratory recording system based on an accelerometer sensor in sleep apnea detection. For this purpose, an installation mounted under the bed mattress records the oscillations caused by the chest movements during the breathing process. The presented processing algorithm performs filtering of the obtained signals and determines the apnea events presence. The performance of the developed system and algorithm of apnea event detection (average values of accuracy, specificity and sensitivity are 94.6%, 95.3%, and 93.7% respectively) confirms the suitability of the proposed method and system for further ambulatory and in-home use.

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Author of HS ReutlingenMartínez Madrid, Natividad
Erschienen in:Procedia computer science
Place of publication:Amsterdam
Document Type:Journal article
Publication year:2023
Tag:accelerometer; contactless measurement; health monitoring; sleep apnea; vital signals
Issue:27th International Conference on Knowledge Based and Intelligent Information and Engineering Sytems (KES 2023)
Page Number:9
First Page:1592
Last Page:1600
DDC classes:004 Informatik
Open access?:Ja
Licence (German):License Logo  Creative Commons - CC BY-NC-ND - Namensnennung - Nicht kommerziell - Keine Bearbeitungen 4.0 International