Air mattress sensor system with balancing tube for unconstrained measurement of respiration and heart beat movements
Open accessAbstract
The cardio-respiratory signal is a fundamental vital sign used for assessment of a patient's status. Additionally, the cardio-respiratory signal provides a great deal of information to healthcare providers wishing to monitor healthy individuals. The air mattress sensor system allows the measurement of the respiration and heart beat movements without the use of a harness or sensor on the subject's body, which eliminates the difficulties these pose for long term measurements. In order to increase the sensitivity, a differential measurement technique between two air cells was used. The concept of a balancing tube between two air cells is suggested in order to increase the robustness against postural changes during the measurements. With this balancing tube, the meaningful frequency range could be selected using a pneumatic method. A mathematical model was constructed and validation experiments were performed for step and sinusoidal input signals. This technique was applied to measurements of respiration and heart beat movements in the supine posture on the bed, which showed potential for applications in sleep analysis, unconstrained healthcare monitoring and neonate monitoring.
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Body movements, breathing and even cardiac activities can be detected by the volume change of the pneumatic underneath an individual whilst they are lying in bed.
“Body movements, breathing and even cardiac activities can be detected by the volume change of the pneumatic underneath an individual whilst they are lying in bed52–54.”
From The future of sleep health: a data-driven revolution in sleep science and medicine (2020) · cites this paper as [53]
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“Las medidas en personas acostadas [7], [8] son indicadas cuando hay algún riesgo de muerte súbita durante el sueño o para monitorización continua en personas hospitalizadas.”
BackgroundNonintrusive Monitoring and Detection of Sitting and Lying Persons: A Technological Review
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BackgroundMethodInfluentialVital Sign Monitoring for Cancer Patients Based on Dual-Path Sensor and Divided-Frequency-CNN Model
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Smartphone-based and non-invasive sleep stage identification system with piezo-capacitive sensors
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“The application of a single airflow sensor in an air pocket single sensor strategically placed into the mattress or placed between the mattress and bedframehasbeeninvestigatedin[39],[40]tomonitorbreathing andcardiacactivities.”
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MethodSelf-citationNon-intrusive respiratory monitoring system using Fiber Bragg Grating sensor
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A Machine Learning-Based Non-Contact Respiratory Rate Monitoring Method Using an RGB Camera
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“Although some contactless methods, namely air mattress sensors, are capable of monitoring respiration [4], the RR signal can be distorted by non-respiratory-induced movements [4].”
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“[5] used an air cushion with an air flow sensor to detect the BCG signal.”
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Clinical Applications of Behavioral Assessment
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Heart pulse demodulation from Emfit mattress sensor using spectral and source separation techniques.
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Pneumatic frequency selection filter in the prior stage of the air pressure transducer
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“This make the research of ballistic measurement system is accomplished [5], [6].”
BackgroundA Preliminary Study for Unconstrained Pulse Arrival Time (PAT) Measurement on a Chair
Kim, K. K., Chee, Y., Park, J., Kim, J., Lim, Y. K., & Park, K. S. (2005) · Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC) · doi:10.1109/iembs.2005.1617253 · Cited by 1 · see citing works
“The PAT can be measured from the electrically non-contact ECG [3], [4] and the pressure pulse of femoral artery with the air cushion using the balancing tubes [5] on a chair.”
MethodSelf-citationMalakuti, K. (2008) · UVic’s Research and Learning Repository (University of Victoria) · Cited by 1 · see citing works
Nanowire and Fiber Composite Electromechanical Sensor
Chen, Q. (2012) · D-Scholarship@Pitt (University of Pittsburgh)
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- Authors
- Chee, Y., Han, J., Youn, J., & Park, K.
- Affiliations
- Seoul National University (KR)
- ORCID
- Park, Kwangsuk
- Venue
- Physiological Measurement
- Publisher
- IOP Publishing
- Published
- 2005-04-11
- Volume
- 26
- Issue
- 4
- Pages
- 413-422
- ISSN
- 0967-3334 (ISSN-L)
- 1361-6579
- OpenAlex
- W2056344526
- Semantic Scholar
- c5e2afd42dd3b887f73cfd6e7596e5f6829ee799
- Cited by
- 111
- References
- 11
- Citations by year
- 2026: 1 · 2025: 2 · 2024: 4 · 2023: 3 · 2022: 10 · 2021: 3 · 2020: 6 · 2019: 5 · 2018: 7 · 2017: 7 · 2016: 4 · 2015: 3 · 2014: 8 · 2013: 3 · 2012: 10
- FWCI
- 4.19
- Type
- journal article
- Language
- en
- Open access
- bronze
- doi.org
- Locations
- Physiological Measurement (publishedVersion)
- PubMed (publishedVersion)
- Funders
- Korea Science and Engineering Foundation
- Arizona Biomedical Research Commission
- Topics
- Physical Sciences › Engineering › Biomedical Engineering › Non-Invasive Vital Sign Monitoring
- Health Sciences › Medicine › Cardiology and Cardiovascular Medicine › Heart Rate Variability and Autonomic Control
- Health Sciences › Medicine › Surgery › Hemodynamic Monitoring and Therapy
- Keywords
- respiratory monitoring, cardiorespiratory signals, differential measurement, mathematical model, sleep analysis
- MeSH terms
- Air, Beds, Computer Simulation, Diagnosis, Computer-Assisted, Equipment Design, Heart Rate, Humans, Models, Biological, Monitoring, Physiologic, Respiration, Rheology, Transducers, Equipment Failure Analysis
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