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Performance improvement of cardiorespiratory measurements using pressure sensors with mechanical coupling techniques

  • Monitoring heart rate and breathing is essential in understanding the physiological processes for sleep analysis. Polysomnography (PSG) system have traditionally been used for sleep monitoring, but alternative methods can help to make sleep monitoring more portable in someone's home. This study conducted a series of experiments to investigate the use of pressure sensors placed under the bed as an alternative to PSG for monitoring heart rate and breathing during sleep. The following sets of experiments involved the addition of small rubber domes - transparent and black - that were glued to the pressure sensor. The resulting data were compared with the PSG system to determine the accuracy of the pressure sensor readings. The study found that the pressure sensor provided reliable data for extracting heart rate and respiration rate, with mean absolute errors (MAE) of 2.32 and 3.24 for respiration and heart rate, respectively. However, the addition of small rubber hemispheres did not significantly improve the accuracy of the readings, with MAEs of 2.3 bpm and 7.56 breaths per minute for respiration rate and heart rate, respectively. The findings of this study suggest that pressure sensors placed under the bed may serve as a viable alternative to traditional PSG systems for monitoring heart rate and breathing during sleep. These sensors provide a more comfortable and non-invasive method of sleep monitoring. However, the addition of small rubber domes did not significantly enhance the accuracy of the readings, indicating that it may not be a worthwhile addition to the pressure sensor system.

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Author:Akhmadbek AsadovORCiD, Juan Antonio OrtegaORCiD, Natividad Martínez MadridORCiD, Ralf SeepoldORCiDGND
DOI:https://doi.org/10.1016/j.procs.2023.10.179
ISSN:1877-0509
Parent Title (English):27th International Conference on Knowledge Based and Intelligent Information and Engineering Sytems, KES2023, 6 - 8 September, Athens, Greece (Procedia Computer Science, Vol. 225)
Volume:225
Publisher:Elsevier
Place of publication:Amsterdam
Document Type:Conference Proceeding
Language:English
Year of Publication:2023
Release Date:2023/12/14
Tag:FSR sensors; Elastic domes; Polysomnography system (PSG); Signal processing; Heart rate
First Page:1891
Last Page:1899
Note:
Corresponding author: Akhmadbek Asadov
Institutes:Institut für Angewandte Forschung - IAF
DDC functional group:500 Naturwissenschaften und Mathematik
600 Technik, Medizin, angewandte Wissenschaften
Open Access?:Ja
Relevance:Peer reviewed nach anderen Listungen (mit Nachweis zum Peer Review Verfahren)
Licence (German):License LogoCreative Commons - CC BY-NC-ND - Namensnennung - Nicht kommerziell - Keine Bearbeitungen 4.0 International