Open Access
Issue |
E3S Web of Conf.
Volume 465, 2023
8th International Conference on Industrial, Mechanical, Electrical and Chemical Engineering (ICIMECE 2023)
|
|
---|---|---|
Article Number | 02014 | |
Number of page(s) | 8 | |
Section | Symposium on Electrical, Information Technology, and Industrial Engineering | |
DOI | https://doi.org/10.1051/e3sconf/202346502014 | |
Published online | 18 December 2023 |
- [1] L. Ferrucci and E. Fabbri, “Inflammageing: chronicinflammation in ageing, cardiovascular disease,and frailty,” Nat. Rev. Cardiol., vol. 15, no. 9, pp. 505–522, 2018, doi: 10.1038/s41569-018-0064-2. [CrossRef] [PubMed] [Google Scholar]
- K. T. F. Barbosa, F. M. R. L. de Oliveira, and M. das G. M. Fernandes, “Vulnerability of the elderly: a conceptual analysis,” Rev. Bras. Enferm., vol. 72, no. June 2020, pp. 337–344, 2019, doi: 10.1590/0034-7167-2018-0728. [CrossRef] [Google Scholar]
- Susenas, “Akses Penduduk Lanjut Usia terhadap Perlindungan Sosial di Daerah Istimewa Yogjakarta Ringkasan Penduduk Lansia Indonesia 2021,” pp. 1–18, 2021. [Google Scholar]
- A. M. Zeki, A. M. Ramadan, F. K. Zeb, and M. Ibrahim, “Impact of life-style on health and physical capability: A data mining approach,” ACM Int. Conf. Proceeding Ser., vol. 2015, no. 11, pp. 119–124, 2015, doi: 10.1145/3177148.3180101. [Google Scholar]
- World Health Organization, “What are the main risk factors for disability in old age and how can disabilitybe prevented,” WHO Reg. Off. Eur. Heal. Evid. …,no. September, 2003, [Online]. Available: http://www.euro.who.int/document/E82970.pdf,%0Ahttp://www.euro.who.int/data/assets/pdf_file/0008/74708/E82970.pdf [Google Scholar]
- Kemenkes,”https://p2ptm.kemkes.go.id/artikel-ilmiah/data-ponsel-dunia-orang-indonesia-paling malas-berjalan-kaki,” 2018. https://p2ptm.kemkes.go.id/artikel-ilmiah/data-ponsel-dunia-orang-indonesia-paling-malas-berjalan-kaki [Google Scholar]
- R. Wu, Y. Zhang, J. J. Bai, J. Sun, Z. J. Bao, and Z. Wang, “Impact of lower limb muscle strength on walking function beyond aging and diabetes,” J. Int. Med. Res., vol. 48, no. 6, 2020, doi: 10.1177/0300060520928826. [Google Scholar]
- Y. Kono et al., “The difference in determinant factor of six-minute walking distance between sarcopenic and non-sarcopenic elderly patients with heart failure,” J. Cardiol., vol. 75, no. 1, pp. 42–46, 2020, doi: 10.1016/j.jjcc.2019.07.002. [CrossRef] [Google Scholar]
- F. D. Gouveia ÉR, Ihle A, Gouveia BR, Kliegel M, Marques A, “Muscle Mass and Muscle Strength Relationships to Balance: The Role of Age and Physical Activity,” J Aging Phys Act, 2020, doi: 10.1123/japa.2018-0113. [Google Scholar]
- T. B. Değer, Z. F. Saraç, E. S. Savaş, and S. F. Akçiçek, “The relationship of balance disorders with falling, the effect of health problems, and social life on postural balance in the elderly living in a district in Turkey,” Geriatr., vol. 4, no. 2, 2019, doi: 10.3390/geriatrics4020037. [Google Scholar]
- H. S. Shih, H. J. Shyur, and E. S. Lee, “An extensionof TOPSIS for group decision making,” Math. Comput. Model., vol. 45, no. 7–8, pp. 801–813, 2007, doi: 10.1016/j.mcm.2006.03.023. [CrossRef] [Google Scholar]
- WHO, “Falls,” 2021. https://www.who.int/news-room/fact-sheets/detail/falls [Google Scholar]
- Y. Lee, R. Badr, B. Bove, P. Jewett, and M. Goehring, “Effects of assistive devices on postural control following a balance disturbance along the anterior-posterior direction,” Gait Posture, vol. 90, no. June 2020, pp. 239–244, 2021, doi: 10.1016/j.gaitpost.2021.09.169. [CrossRef] [PubMed] [Google Scholar]
- Y. Vonn Wong and S. Yang, “Cane Design: A Preliminary Research Concerning on Cane and Elderly Users,” Int. J. Soc. Sci. Humanit., vol. 8, no. 1, pp. 31–36, 2018, doi 10.18178/ijssh.2018.v8.929. [CrossRef] [Google Scholar]
- S. M. Bradley and C. R. Hernandez, “Geriatric assistive devices,” Am. Fam. Physician, vol. 84, no. 4, pp. 405–411, 2011. [Google Scholar]
- H. Liu, “Assessment of rolling walkers used by older adults in senior-living communities,” Geriatr. Gerontol. Int., vol. 9, no. 2, pp. 124–130, 2009, doi: 10.1111/j.1447-0594.2008.00497.x. [CrossRef] [PubMed] [Google Scholar]
- H. (Howe) Liu, J. Eaves, W. Wang, J. Womack, and P. Bullock, “Assessment of canes used by older adults in senior living communities,” Arch. Gerontol. Geriatr., vol. 52, no. 3, pp. 299–303, 2011, doi: 10.1016/j.archger.2010.04.003. [CrossRef] [Google Scholar]
- H. Bateni and B. E. Maki, “Assistive devices for balance and mobility: Benefits, demands, and adverse consequences,” Arch. Phys. Med. Rehabil.,vol. 86, no. 1, pp. 134–145, 2005, doi: 10.1016/j.apmr.2004.04.023. [CrossRef] [Google Scholar]
- C. Luz, T. Bush, X. Shen, and R. Pruchno, “Do canes or walkers make any difference? nonuse and fall injuries,” Gerontologist, vol. 57, no. 2, pp. 211–218, 2015, doi: 10.1093/geront/gnv096. [Google Scholar]
- F. N. Muqodimah, S. Susmartini, and I. Priadythama, “Designing an Assistive Devices for Transferring aWheelchair Users with Comparative Study using AHP Method and Delphi Method,” IOP Conf. Ser. Mater. Sci. Eng., vol. 495, no. 1, 2019, doi: 10.1088/1757-899X/495/1/012024. [CrossRef] [Google Scholar]
- H. Ariff, M. S. Salit, N. Ismail, and Y. Nukman, “Use of Analytical Hierarchy Process (AHP) for Selecting The Best Design Concept,” J. Teknol., vol. 49, pp. 1–18, 2008, doi: 10.11113/jt.v49.188. [Google Scholar]
- S. A. Alshehri, Y. Rezgui, and H. Li, “Disaster community resilience assessment method: A consensus-based Delphi and AHP approach,” Nat. Hazards, vol. 78, no. 1, pp. 395–416, 2015, doi: 10.1007/s11069-015-1719-5. [CrossRef] [Google Scholar]
- A. Ishizaka and A. Labib, “Review of the main developments in the analytic hierarchy process,” Expert Syst. Appl., vol. 38, no. 11, pp. 14336– 14345, 2011, doi: 10.1016/j.eswa.2011.04.143. [Google Scholar]
- Y. Liu, C. M. Eckert, and C. Earl, “A review of fuzzy AHP methods for decision-making with subjective judgements,” Expert Syst. Appl., vol. 161, p. 113738, 2020, doi:10.1016/j.eswa.2020.113738. [CrossRef] [Google Scholar]
- T. L. Saaty, “The analytic hierarchy process in conflict management,” Int. J. Confl. Manag., vol. 1, no. 1, pp. 47–68, 1990, doi: 10.1108/eb022672. [CrossRef] [Google Scholar]
- T. L. Saaty, “Decision-making with the AHP: Why is the principal eigenvector necessary,” Eur. J. Oper. Res., vol. 145, no. 1, pp. 85–91, 2003, doi: 10.1016/S0377-2217(02)00227-8. [CrossRef] [Google Scholar]
- J. Franek and A. Kresta, “Judgment Scales and Consistency Measure in AHP,” Procedia Econ. Financ., vol. 12, no. March, pp. 164–173, 2014, doi: 10.1016/s2212-5671(14)00332-3. [CrossRef] [Google Scholar]
- Y. Ersoy, “Green Machine Selection in a Manufacturing Company Using TOPSIS Method,” vol. 6, no. 1, pp. 45–56, 2020. [Google Scholar]
- J. W. Youdas, B. J. Kotajarvi, D. J. Padgett, and K. R. Kaufman, “Partial weight-bearing gait using conventional assistive devices,” Arch. Phys. Med. Rehabil., vol. 86, no. 3, pp. 394–398, 2005, doi: 10.1016/j.apmr.2004.03.026. [CrossRef] [Google Scholar]
Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.
Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.
Initial download of the metrics may take a while.