TY  - JOUR
U1  - Zeitschriftenartikel, wissenschaftlich - begutachtet (reviewed)
A1  - Asadov, Akhmadbek
A1  - Ortega, Juan Antonio
A1  - Martínez Madrid, Natividad
A1  - Seepold, Ralf
T1  - Performance improvement of cardiorespiratory measurements using pressure sensors with mechanical coupling techniques
JF  - Procedia computer science
N2  - 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.
KW  - FSR sensors
KW  - Polysomnography system (PSG)
KW  - signal processing
KW  - heart rate
KW  - respiratory rate
KW  - elastic domes
Y1  - 2023
UN  - https://nbn-resolving.org/urn:nbn:de:bsz:rt2-opus4-46592
SN  - 1877-0509
SS  - 1877-0509
U6  - https://doi.org/10.1016/j.procs.2023.10.179
DO  - https://doi.org/10.1016/j.procs.2023.10.179
VL  - 225
IS  - 27th International Conference on Knowledge Based and Intelligent Information and Engineering Sytems (KES 2023)
SP  - 1891
EP  - 1899
S1  - 9
PB  - Elsevier
CY  - Amsterdam
ER  -