Open Access
Mechanics & Industry
Volume 22, 2021
Article Number 37
Number of page(s) 15
Published online 01 June 2021
  1. X. Li, B. Zhou, L. Shen et al., Exploring the effect of mattress cushion materials on human-mattress interface temperatures, pre-sleep thermal state and sleep quality, Indoor and Built Environment 1–15 (2020) [Google Scholar]
  2. X. Li, L. Shen, R. Califano, The comparative study of thermal comfort and sleep quality for innovative designed mattress in hot weather, Science Technology for the Built Environment 26, 1–15 (2010) [Google Scholar]
  3. V. Verhaert, B. Haex, T. De Wilde et al., Ergonomics in bed design: the effect of spinal alignment on sleep parameters, Ergonomics 54, 169–178 (2011) [Google Scholar]
  4. Y. Chen, Y. Guo, L. Shen et al., The quantitative effects of mattress and sleep postures on sleep quality, in: International Asia Conference on Industrial Engineering and Management Innovation (IEMI2012) Proceedings: Core Areas of Industrial Engineering, pp. 107–115 (2012) [Google Scholar]
  5. H. Lee, S. Park, Quantitative effects of mattress types (comfor Table vs. uncomfor Table) on sleep quality through polysomnography and skin temperature, International Journal of Industrial Ergonomics 36, 943–949 (2006) [Google Scholar]
  6. V. Verhaert, H. Druyts, D. Van Deun et al., Model human-bed interaction:the predictive value of anthropometric models in choosing the correct bed suppor, Work 41, 2268–2273 (2012) [Google Scholar]
  7. T. Huysmans, B. Haex, T.D. Wilde et al., A 3D active shape model for the evaluation of the alignment of the spine during sleeping, Gait Posture 24, 54–61 (2006) [Google Scholar]
  8. K. Leilnahari, N. Fatouraee, M. Khodalotfi et al., Spine alignment in men during lateral sleep position: experimental study and model, BioMedical Engineering Online 10, 103 (2011) [Google Scholar]
  9. S. Rithalia, Assessment of patient support surfaces: principle, practice and limitations, Journal of Medical Engineering Technology 29, 163–169 (2005) [Google Scholar]
  10. V. Verhaert, D. Van Deun, J. Verbraecken et al., Smart control of spinal alignment through active adjustment of mechanical bed properties during sleep, Journal of Ambient Intelligence and Smart Environments 5, 369–380 (2013) [Google Scholar]
  11. M. Saegusa, H. Noguchi, G. Nakagami et al., Evaluation of comfort associated with the use of a robotic mattress with an interface pressure mapping system and automatic internal air-cell pressure adjustment function in healthy volunteers, Journal of Tissue Viability 27, 146–152 (2018) [Google Scholar]
  12. M. Malbrain, B. Hendriks, P. Wijnands et al., A pilot randomised controlled trial comparing reactive air and active alternating pressure mattresses in the prevention and treatment of pressure ulcers among medical ICU patients, Journal of Tissue Viability 19, 7–15 (2010) [Google Scholar]
  13. O. Ezeamuzie, V. Darian, U. Katiyar et al., Intraoperative use of low-profile alternating pressure mattress for prevention of hospital acquired pressure injury, Perioperative Care and Operating Room Management 17, 100080 (2019) [Google Scholar]
  14. D. Beeckman, B. Serraes, C. Anrys et al., A multicentre prospective randomised controlled clinical trial comparing the effectiveness and cost of a static air mattress and alternating air pressure mattress to prevent pressure ulcers in nursing home residents, International Journal of Nursing Studies 97, 105–113 (2019) [Google Scholar]
  15. S. Tsuchiya, A. Sato, E. Azuma et al., The effectiveness of small changes for pressure redistribution; using the air mattress for small changes, Journal of Tissue Viability 25, 135–142 (2016) [Google Scholar]
  16. K.H. Lee, Y.E. Kwon, H. Lee et al., Active body pressure relief system with time-of-flight optical pressure sensors for pressure ulcer prevention, Sensors (Basel) 19 (2019) [Google Scholar]
  17. V. Verhaert, H. Druyts, D. Van Deun et al., Model human-bed interaction: the predictive value of anthropometric models in choosing the correct bed suppor, Work 41, 2268–2273 (2012) [Google Scholar]
  18. V. Verhaert, H. Druyts, D. Van Deun et al., Estimating spine shape in lateral sleep positions using silhouette-derived body shape models, International Journal of Industrial Ergonomics 42, 489–498 (2012) [Google Scholar]
  19. R. Xie, C. Ulven, B. Khoda, Design and manufacturing of variable stiffness mattress, Procedia Manufacturing 26, 132–139 (2018) [Google Scholar]
  20. C. Dealey, Pressure-relieving devices: the use of pressurerelieving devices (beds, mattresses and overlays) for the prevention of pressure ulcers, Journal of Tissue Viability 13, 186–187 (2003) [Google Scholar]
  21. C.Y. Chai, O. Sadou, P.R. Worsley et al., Pressure signatures can influence tissue response for individuals supported on an alternating pressure mattress, Journal of Tissue Viability 26, 180–188 (2017) [Google Scholar]
  22. J.M. Still, J. Wilson, C. Rinker et al., A retrospective study to determine the incidence of pressure ulcers in burn patients using an alternating pressure mattress, Burns 29, 505–507 (2003) [Google Scholar]
  23. J. Smardzewski, New construction of mattress springs, Materials Design 49, 318–322 (2013) [Google Scholar]
  24. J. Smardzewski, Models of hybrid springs for ergonomic seats and mattresses, Drvna industrija 64, 9–18 (2013) [Google Scholar]
  25. L. Xu, Mathematical modeling and characteristic analysis of the vertical stiffness for railway vehicle air spring system, Mathematical Problems in Engineering 2020, 1–12 (2020) [Google Scholar]
  26. L. Xu, Research on nonlinear model and dynamic characteristics of lateral stiffness of vehicle air spring system, Advances in Mechanical Engineering 12, 2072262133 (2020) [Google Scholar]
  27. X. Chen, S. Han, T. Luo, D. Guo, Investigation of sliding mode control for nonlinear suspension systems with state estimation, Mechanics Industry 21, 611 (2020) [Google Scholar]

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