The DOI matches its Crossref record; 11 of the 11 references it cites were found in a registry or an index.
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 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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Citations
Cites
Critical review of non-invasive respiratory monitoring in medical care
Folke, M., Cernerud, L., Ekström, M., & Hök, B. (2003) · Medical & Biological Engineering & Computing · doi:10.1007/bf02348078 · Cited by 430
Heart Rate Variability During Waking and Sleep in Healthy Males and Females
Elsenbruch, S., Harnish, M. J., & Orr, W. C. (1999) · SLEEP · doi:10.1093/sleep/22.8.1067 · Cited by 219
Noncontact Method for Sleep Stage Estimation
Watanabe, T., & Watanabe, K. (2004) · IEEE Transactions on Biomedical Engineering · doi:10.1109/tbme.2004.828037 · Cited by 148
A smart bed for non-intrusive monitoring of patient physiological factors
SpillmanJr, W. B., Mayer, M., Bennett, J., Gong, J., Meissner, K. E., Davis, B. A., Claus, R. O., MuelenaerJr, A. A., & Xu, X. (2004) · Measurement Science and Technology · doi:10.1088/0957-0233/15/8/032 · Cited by 98
Tanaka, S., Matsumoto, Y., & Wakimoto, K. (2002) · Medical & Biological Engineering & Computing · doi:10.1007/bf02348132 · Cited by 52
The Nature of Respiratory Changes Associated with Sleep Onset
Naifeh, K. H., & Kamiya, J. (1981) · SLEEP · doi:10.1093/sleep/4.1.49 · Cited by 51
Respiratory monitoring using an air-mattress system
Chow, P., Nagendra, G., Abisheganaden, J., & Wang, Y. T. (2000) · Physiological Measurement · doi:10.1088/0967-3334/21/3/301 · Cited by 45
Characterization of a novel heart and respiratory rate sensor
Jacobs, J. L., Embree, P., Glei, M., Christensen, S., & Sullivan, P. (2005) · Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC) · doi:10.1109/iembs.2004.1403648 · Cited by 39
A new non-invasive approach for monitoring respiratory movements of sleeping subjects
Hernandez, L., Waag, B., Hsiao, H., & Neelon, V. J. (1995) · Physiological Measurement · doi:10.1088/0967-3334/16/3/003 · Cited by 31
Three-dimensional ballistocardiographic responses to changes of posture
Soames, R. W., & Atha, J. (1982) · Clinical Physics and Physiological Measurement · doi:10.1088/0143-0815/3/3/001 · Cited by 23
Study on the Non-Restrictive Vital Bio-Measurement by the Air Mattress Methods
Watanabe, K., & Watanabe, H. (2000) · Transactions of the Society of Instrument and Control Engineers · doi:10.9746/sicetr1965.36.894 · Cited by 12
Research works printed but not linked: 2
- Jacobs J L Embree P Glei M Christensen S Sullivan P K, 2004, Proc. 26th Annu. Int. Conf. of IEEE EMBS, 2223
- Ogata M, 1978, System Dynamics
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Sorted by citations
Ballistocardiography and Seismocardiography: A Review of Recent Advances
Inan, O. T., Migeotte, P.-F., Park, K.-S., Etemadi, M., Tavakolian, K., Casanella, R., Zanetti, J., Tank, J., Funtova, I., Prisk, G. K., et al. (2015) · IEEE Journal of Biomedical and Health Informatics · doi:10.1109/jbhi.2014.2361732 · Cited by 775
“[40], and more recently the following implementations: Pressure sensor in the air mattress [41] or in pad [42], film-type force sensors [43] or load cells in the legs of bed [44], microbend fiber optic BCG sensor [45]–[47], EMFi sensors [48], piezoelectric film sensors [49] or polyvinylidene fluoride (PVDF) sensors [5…”
BackgroundSelf-citationThe future of sleep health: a data-driven revolution in sleep science and medicine
Perez-Pozuelo, I., Zhai, B., Palotti, J., Mall, R., Aupetit, M., Garcia-Gomez, J. M., Taheri, S., Guan, Y., & Fernandez-Luque, L. (2020) · npj Digital Medicine · doi:10.1038/s41746-020-0244-4 · Cited by 311
ECG Recording on a Bed During Sleep Without Direct Skin-Contact
Lim, Y. G., Kim, K. K., & Park, K. S. (2007) · IEEE Transactions on Biomedical Engineering · doi:10.1109/tbme.2006.889194 · Cited by 237
Self-citationBallistocardiogram signal processing: a review
Sadek, I., Biswas, J., & Abdulrazak, B. (2019) · Health Information Science and Systems · doi:10.1007/s13755-019-0071-7 · Cited by 231
“[57, 58] recommended to use a balancing tube between two air cells to improve the effectiveness of posture changes during data collection.”
MethodAdaptive Beat-to-Beat Heart Rate Estimation in Ballistocardiograms
Brüser, C., Stadlthanner, K., de Waele, S., & Leonhardt, S. K. (2011) · IEEE Transactions on Information Technology in Biomedicine · doi:10.1109/titb.2011.2128337 · Cited by 222
Metadata
- 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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