Abstract
Increasing in elderly population put extra pressure on healthcare systems globally in terms of operational costs and resources. To minimize this pressure and provide efficient healthcare services, the application of the Internet of Things (IoT) and wearable technology could be promising. These technologies have the potential to improve the quality of life of the elderly population while reducing strain on healthcare systems and minimizing their operational cost. Although IoT and wearable applications for elderly healthcare purposes were reviewed previously, there is a further need to summarize their current applications in this fast-developing area. This paper provides a comprehensive overview of IoT and wearable technologies’ applications including the types of data collected and the types of devices for elderly healthcare. This paper provides insights into existing areas of IoT/wearable applications while presenting new research opportunities in emerging areas of applications, such as robotic technology and integrated applications. The analysis in this paper could be useful to healthcare solution designers and developers in defining technology supported futuristic healthcare strategies to serve elderly people and increasing their quality of life.
Similar content being viewed by others
Explore related subjects
Discover the latest articles, news and stories from top researchers in related subjects.References
Azimi I, Rahmani AM, Liljeberg P et al (2017) Internet of things for remote elderly monitoring: a study from user-centered perspective. J Ambient Intell Humanized Comput 8:273–289. https://doi.org/10.1007/s12652-016-0387-y
He W, Goodkind D, Kowal PR (2016) International population reports. US Census Bureau. https://www.census.gov/content/dam/Census/library/publications/2016/demo/p95-16-1.pdf. Accessed 19 Sep 2019
Nguyen HH, Mirza F, Naeem MA et al (2017) A review on IoT healthcare monitoring applications and a vision for transforming sensor data into real-time clinical feedback. In: IEEE 21st international conference on computer supported cooperative work in design (CSCWD), pp 257–262. https://doi.org/10.1109/CSCWD.2017.8066704
Ni Scanaill C, Carew S, Barralon P et al (2006) A review of approaches to mobility telemonitoring of the elderly in their living environment. Ann Biomed Eng 34:547–563. https://doi.org/10.1007/s10439-005-9068-2
Pal D, Triyason T, Funikul S (2017) Smart homes and quality of life for the elderly: a systematic review. IEEE Int Symp Multimedia (ISM) 11–13:413–419. https://doi.org/10.1109/ISM.2017.83
Whitmore A, Agarwal A, Da Xu L (2015) The internet of things—a survey of topics and trends. Inf Syst Front 17:261–274. https://doi.org/10.1007/s10796-014-9489-2
Kuyoro S, Osisanwo F, Akinsowon O (2015) Internet of things (IoT): an overview. In: 3rd international conference on advances in engineering sciences & applied mathematics, pp 53–58
Elena-Lenz C (2014) Internet of things: six key characteristics. https://designmind.frogdesign.com/2014/08/internet-things-six-key-characteristics/. Accessed 10 Sept 2019
Schüll ND (2016) Data for life: wearable technology and the design of self-care. BioSocieties 11:317–333. https://doi.org/10.1057/biosoc.2015.47
Wagner F, Basran J, Dal Bello-Haas V (2012) A review of monitoring technology for use with older adults. J Geriatric Phys Therapy 35:28–34. https://doi.org/10.1519/JPT.0b013e318224aa23
World Health Organisation (2018) Ageing and health. https://www.who.int/news-room/fact-sheets/detail/ageing-and-health. Accessed 10 Sep 2019
New Zealand Ministry of Health (2016) Our changing population. New Zealand Government https://www.health.govt.nz/nz-health-statistics/health-statistics-and-data-sets/older-peoples-health-data-and-stats/our-changing-population. Accessed 10 Sep 2019
World Health Organisation (2011) Global health and aging. National Institute on Aging. https://www.who.int/ageing/publications/global_health.pdf. Accessed 10 Sep 2019
Buttorff C, Ruder T, Bauman M (2017) Multiple chronic conditions in the United States. Santa Monica
Centers for Medicare and Medicaids Services (2018) NHE Fact Sheet 2017. US Centers for Medicare and Medicaid Services. https://www.cms.gov/research-statistics-data-and-systems/statistics-trends-and-reports/nationalhealthexpenddata/nhe-fact-sheet.html. Accessed 10 Jan 2019
Ann OC, Theng LB (2014) Human activity recognition: a review. In: IEEE international conference on control system, computing and engineering (ICCSCE 2014), pp 389–393. https://doi.org/10.1109/ICCSCE.2014.7072750
Ahmadi H, Arji G, Shahmoradi L et al (2018) The application of internet of things in healthcare: a systematic literature review and classification. Univ Access Inf Soc. https://doi.org/10.1007/s10209-018-0618-4
Grant MJ, Booth A (2009) A typology of reviews: an analysis of 14 review types and associated methodologies. Health Inf Libr J 26:91–108. https://doi.org/10.1111/j.1471-1842.2009.00848.x
Yi E (2018) Themes don’t just emerge — Coding the qualitative data. https://medium.com/@projectux/themes-dont-just-emerge-coding-the-qualitative-data-95aff874fdce. Accessed 9 May 2019
Lee SY, Chou CL, Hsu SPC et al (2016) Outcomes after stroke in patients with previous pressure ulcer: a nationwide matched retrospective cohort study. J Stroke Cerebrovasc Dis 25:220–227
Dakurah MN, Koo C, Choi W et al (2015) Implantable bladder sensors: a methodological review. Int Neurourol J 19:133–141. https://doi.org/10.5213/inj.2015.19.3.133
Punj R, Kumar R (2018) Technological aspects of WBANs for health monitoring: a comprehensive review. Wireless Netw. https://doi.org/10.1007/s11276-018-1694-3
de Podestá GR, Bonacin R, Gonçalves VP (2018) Designing IoT solutions for elderly home care: A systematic study of participatory design, personas and semiotics. In: Antona M, Stephanidis C (eds) Universal access in human-computer interaction. Virtual, augmented, and intelligent environments. Springer International Publishing, Cham, pp 226–245
Bal M, Shen W, Hao Q et al (2011) Collaborative smart home technologies for senior independent living: a review. In: 15th international conference on computer supported cooperative work in design (CSCWD), pp 481–488. https://doi.org/10.1109/CSCWD.2011.5960116
Chan M, Esteve D, Escriba C et al (2008) A review of smart homes—present state and future challenges. Comput Methods Programs Biomed 91:55–81. https://doi.org/10.1016/j.cmpb.2008.02.001
Mitas AW, Rudzki M, Skotnicka M et al (2014) Activity monitoring of the elderly for telecare systems—review. In: Piętka E, Kawa J, Wieclawek W (eds) Information technologies in biomedicine. Springer International Publishing, Cham, pp 125–138
Khosravi P, Ghapanchi AH (2016) Investigating the effectiveness of technologies applied to assist seniors: a systematic literature review. Int J Med Informatics 85:17–26. https://doi.org/10.1016/j.ijmedinf.2015.05.014
Kumari P, Mathew L, Syal P (2017) Increasing trend of wearables and multimodal interface for human activity monitoring: a review. Biosens Bioelectron 90:298–307. https://doi.org/10.1016/j.bios.2016.12.001
Chen S, Lach J, Lo B et al (2016) Toward pervasive gait analysis with wearable sensors: a systematic review. IEEE J Biomed Health Informatics 20:1521–1537. https://doi.org/10.1109/JBHI.2016.2608720
Reeder B, Chung J, Stevens-Lapsley J (2016) Current telerehabilitation research with older adults at home: an integrative review. J Gerontol Nurs 42:15–20. https://doi.org/10.3928/00989134-20160201-02
Klimova B (2016) Mobile health devices for aging population groups: a review study. In: Younas M, Awan I, Kryvinska N, Strauss C, Thanh DV (eds) Mobile web and intelligent information systems. Springer International Publishing, Cham, pp 295–301
Chiarini G, Ray P, Akter S et al (2013) mHealth technologies for chronic diseases and elders: a systematic review. IEEE J Sel Areas Commun 31:6–18. https://doi.org/10.1109/JSAC.2013.SUP.0513001
Brownsell S, Hawley M (2004) Fall detectors: do they work or reduce the fear of falling? Hous Care Support 7:18–24
Kalid N, Zaidan AA, Zaidan BB et al (2017) Based-real time remote health monitoring systems: a review on patients prioritization and related "big data" using body sensors information and communication technology. J Med Syst 42:30. https://doi.org/10.1007/s10916-017-0883-4
Wang Z, Yang Z, Dong T (2017) A review of wearable technologies for elderly care that can accurately track indoor position, recognize physical activities and monitor vital signs in real time. Sensors 17:2. https://doi.org/10.3390/s17020341
Shany T, Redmond SJ, Marschollek M et al (2012) Assessing fall risk using wearable sensors: a practical discussion. A review of the practicalities and challenges associated with the use of wearable sensors for quantification of fall risk in older people. Z Gerontol Geriatr 45:694–706. https://doi.org/10.1007/s00391-012-0407-2
Sharma CAA, Sai Vishnu Kumar ASK, Prasad A et al (2018) Multifaceted bio-medical applications of exoskeleton: a review. In: 2nd international conference on inventive systems and control (ICISC), pp 11–15. https://doi.org/10.1109/ICISC.2018.8399053
Jaul E, Menzel J (2014) Pressure ulcers in the elderly, as a public health problem. J General Pract 2:174. https://doi.org/10.4172/2329-9126.1000174
Yein N, Pal S (2017) Technological assistance for fall among aging population: a review. In: Chakrabarti A, Chakrabarti D (eds) Research into design for communities, 1st edn. Springer, Singapore, pp 409–419
de Bruin ED, Hartmann A, Uebelhart D et al (2008) Wearable systems for monitoring mobility-related activities in older people: a systematic review. Clin Rehabil 22:878–895. https://doi.org/10.1177/0269215508090675
Celler BG, Hesketh T, Earnshaw W et al (1994) An instrumentation system for the remote monitoring of changes in functional health status of the elderly at home. In: 16th annual international conference of the IEEE engineering in medicine and biology society, IEEE, pp 908–909
Lockwood C, Conroy-Hiller T, Page T (2004) Vital signs. JBI Rep 2:207–230
Albahri AS, Zaidan AA, Albahri OS et al (2018) Real-time fault-tolerant mhealth system: comprehensive review of healthcare services, opens issues, challenges and methodological aspects. J Med Syst 42:137. https://doi.org/10.1007/s10916-018-0983-9
Vercelli A, Rainero I, Ciferri L et al (2018) Robots in elderly care. DigitCult-Sci J Dig Cult 2:37–50
Bogue R (2013) Robots to aid the disabled and the elderly. Ind Robot
Koceski S, Koceska N (2016) Evaluation of an assistive telepresence robot for elderly healthcare. J Med Syst 40:121
Coradeschi S, Kristoffersson A, Loutfi A et al (2011) Towards a methodology for longitudinal evaluation of social robotic telepresence for elderly. In: Human robot interaction, 2011
Orlandini A, Kristoffersson A, Almquist L et al (2016) ExCITE Project: a review of forty-two months of robotic telepresence technology evolution. Presence Teleoper Virt Env 25:204–221
Shibata T, Wada K (2011) Robot therapy: a new approach for mental healthcare of the elderly—a mini-review. Gerontology 57:378–386
Tanabe S, Saitoh E, Koyama S et al (2019) Designing a robotic smart home for everyone, especially the elderly and people with disabilities. Fujita Med J 5:31–35
Camarinha-Matos LM, Ferrada F, Oliveira AI et al (2014) Care services provision in ambient assisted living. IRBM 35:286–298
Miori V, Russo D (2017) Improving life quality for the elderly through the Social Internet of Things (SIoT). In: Global internet of things summit (GIoTS), IEEE, pp 1–6
Talpur MSH, Liu W, Wang G (2014) A ZigBee-based elderly health monitoring system: design and implementation. Int J Autonomous Adapt Commun Syst 7:393–411
Rodrigues J, Segundo DB, Junqueira HA et al (2018) Enabling technologies for the internet of health things. IEEE Access 6:13129–13141
Marcos-Pablos S, García-Peñalvo FJ (2019) Technological ecosystems in care and assistance: a systematic literature review. Sensors 19:708
Funding
None.
Author information
Authors and Affiliations
Corresponding author
Ethics declarations
Conflict of interest
On behalf of all authors, the corresponding author declares that they have no conflict of interest.
Ethical approval
This article is a review work and does not contain any studies with human participants.
Statement of human and animal rights
This article does not contain any studies with human participants performed by any of the authors.
Informed consent
For this type of study, formal consent is not required.
Additional information
Publisher's Note
Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.
Rights and permissions
About this article
Cite this article
Tun, S.Y.Y., Madanian, S. & Mirza, F. Internet of things (IoT) applications for elderly care: a reflective review. Aging Clin Exp Res 33, 855–867 (2021). https://doi.org/10.1007/s40520-020-01545-9
Received:
Accepted:
Published:
Issue Date:
DOI: https://doi.org/10.1007/s40520-020-01545-9