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A Review of Patient Bed Sensors for Monitoring of Vital Signs

M. Recmanik, R. Martinek, J. Nedoma, R. Jaros, M. Pelc, R. Hajovsky, J. Velicka, M. Pies, M. Sevcakova, A. Kawala-Sterniuk

. 2024 ; 24 (15) : . [pub] 20240723

Language English Country Switzerland

Document type Journal Article, Review

The analysis of biomedical signals is a very challenging task. This review paper is focused on the presentation of various methods where biomedical data, in particular vital signs, could be monitored using sensors mounted to beds. The presented methods to monitor vital signs include those combined with optical fibers, camera systems, pressure sensors, or other sensors, which may provide more efficient patient bed monitoring results. This work also covers the aspects of interference occurrence in the above-mentioned signals and sleep quality monitoring, which play a very important role in the analysis of biomedical signals and the choice of appropriate signal-processing methods. The provided information will help various researchers to understand the importance of vital sign monitoring and will be a thorough and up-to-date summary of these methods. It will also be a foundation for further enhancement of these methods.

References provided by Crossref.org

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$a The analysis of biomedical signals is a very challenging task. This review paper is focused on the presentation of various methods where biomedical data, in particular vital signs, could be monitored using sensors mounted to beds. The presented methods to monitor vital signs include those combined with optical fibers, camera systems, pressure sensors, or other sensors, which may provide more efficient patient bed monitoring results. This work also covers the aspects of interference occurrence in the above-mentioned signals and sleep quality monitoring, which play a very important role in the analysis of biomedical signals and the choice of appropriate signal-processing methods. The provided information will help various researchers to understand the importance of vital sign monitoring and will be a thorough and up-to-date summary of these methods. It will also be a foundation for further enhancement of these methods.
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$a Nedoma, Jan $u Department of Telecommunications, Faculty of Electrical Engineering and Computer Science, VSB-Technical University of Ostrava, 17. Listopadu 2172/15, 708 00 Ostrava-Poruba, Czech Republic $1 https://orcid.org/0000000174592043
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$a Jaros, Rene $u Department of Cybernetics and Biomedical Engineering, Faculty of Electrical Engineering and Computer Science, VSB-Technical University of Ostrava, 17. Listopadu 2172/15, 708 00 Ostrava-Poruba, Czech Republic $1 https://orcid.org/0000000333466467
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$a Pelc, Mariusz $u Institute of Computer Science, University of Opole, ul. Oleska 48, 45-052 Opole, Poland $u School of Computing and Mathematical Sciences, Old Royal Naval College, University of Greenwich, Park Row, London SE10 9LS, UK $1 https://orcid.org/0000000328181010
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$a Hajovsky, Radovan $u Department of Cybernetics and Biomedical Engineering, Faculty of Electrical Engineering and Computer Science, VSB-Technical University of Ostrava, 17. Listopadu 2172/15, 708 00 Ostrava-Poruba, Czech Republic $1 https://orcid.org/0000000176091787
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