Tecnologías IoT para el cuidado de la salud de las personas mayores: un mapeo sistemático
DOI:
https://doi.org/10.33448/rsd-v11i7.30453Palabras clave:
Internet de las cosas; Personas mayores; Salud; Enseñanza.Resumen
Considerando los desafíos y beneficios inherentes al Internet de las Cosas (Internet of Things - IoT) para los ancianos en el área de la salud, este estudio tuvo como objetivo realizar un mapeo sistemático de la literatura, cuya búsqueda se realizó en diciembre de 2021, en la Biblioteca Virtual em Saúde (BVS), Web of Science, Pubmed, Embase y bases de datos Medline. Se utilizaron algunos de los siguientes descriptores: tecnología, aplicación, salud, Internet de las Cosas y ancianos. Se identificaron 873 estudios y después de aplicar los criterios de selección, 39 publicaciones alcanzaron el nivel de calidad para inclusión e inclusión. Los artículos revisados presentan datos importantes sobre la evolución de los tratamientos tecnológicos a distancia para personas mayores. Se recomienda este estudio para ayudar en los estudios de investigación para aumentar el conocimiento, el uso y la calidad de las tecnologías de IoT en la salud.
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Abbas, M., Somme, D., Jeannes RB.(2021). "D-SORM: A digital solution for remote monitoring based on the attitude of wearable devices." Computer Methods and Programs in Biomedicine 208: 106247.
Abril-Jiménez, P., Rojo Lacal, J., De Los Ríos Pérez, S. (2020). Páramo, M., Montalvá Colomer, J.B., Arredondo Waldmeyer, M.T. Ageing-friendly cities for assessing older adults' decline: IoT-based system for continuous monitoring of frailty risks using smart city infrastructure. Aging Clin Exp Res.:663-671. DOI: 10.1007/s40520-019-01238-y.
Awais, M., Raza, M., Ali, K., Ali, Z., Irfan, M., Chughtai, O., Khan, I., Kim, S., Uu Rehman, M.(2019). An Internet of Things Based Bed-Egress Alerting Paradigm Using Wearable Sensors in Elderly Care Environment. Sensors (Basel). Doi: 10.3390/s19112498.
Balaguera H, Wise D, Ng C, Tso H, Chiang W, Hutchinson A, Galvin T, Hilborne L, Hoffman C, Huang C, Wang C (2017) Using a Medical Intranet of Things System to Prevent Bed Falls in an Acute Care Hospital: A Pilot Study. Journal of medical Internet research. DOI:10.2196/jmir.7131.
Ben Hassen, H., Dghais, W., Hamdi, B. (2019). An E-health system for monitoring elderly health based on Internet of Things and Fog computing. Health Inf Sci Syst. DOI: 10.1007/s13755-019-0087-z.
Boukhennoufa, I., Amira, A., Bensaali, F., Soheilian Esfahani, S. A. (2020). A novel gateway-based solution for remote elderly monitoring. J Biomed Inform. DOI: 10.1016/j.jbi.2020.103521.
Cai, W-Y., Guo, J-H., Zhang, M-Y., Ruan, Z-X., Zheng, X-C., Lv, S-S.( 2020). GBDT-Based Fall Detection with Comprehensive Data from Posture Sensor and Human Skeleton Extraction. Journal of healthcare engineering. DOI:10.1155/2020/8887340.
Choi, YK., Thompson, HJ., Demiris, G. (2020). Use of an Internet-of-Things Smart Home System for Healthy Aging in Older Adults in Residential Settings: Pilot Feasibility Study. JMIR Aging. DOI: 10.2196/21964.
Das, R., Tuna, A., Demirel, S., Yurdakul, M. K.(2017) A survey on the internet of things solutions for the elderly and disabled: applications, prospects, and challenges. International Journal of Computer Networks and Applications. DOI: 10.22247/ijcna/2017/49023.
Daniolou, S., Rapp, A., Haase, C., Ruppert, A., Wittwer, M., Scoccia Pappagallo, A., Pandis, N., Reto, K., Ienca, M.( 2021). Digital Predictors of Morbidity, Hospitalization, and Mortality Among Older Adults: A Systematic Review and Meta-Analysis . Frontiers in Digital Health. DOI:10.3389/fdgth.2020.602093.
Della Mea, V., Popescu, M.H., Gonano, D., Petaros, T., Emili, I., Fattori, M.G. (2020). A Communication Infrastructure for the Health and Social Care Internet of Things: Proof-of-Concept Study. JMIR Med Inform. DOI: 10.2196/14583.
Durán-Vega, L.A., Santana-Mancilla, P.C., Buenrostro-Mariscal, R., Contreras-Castillo, J., Anido-Rifón, L.E., García-Ruiz, M.A., Montesinos-López, O.A., Estrada-González, F. (2019). An IoT System for Remote Health Monitoring in Elderly Adults Through a Wearable Device and Mobile Application. Geriatrics (Basel). DOI: 10.3390/geriatrics4020034.
Ejaz, M., Kumar, T., Kovacevic, I., Ylianttila, M., Harjula, E. (2021). HEALTH-BLOCKEDGE: BlockchainEdge Framework for Reliable Low-Latency Digital Healthcare Applications. Sensors. DOI: https://doi.org/10.3390/s21072502.
Holmes, M., Nieto, M.P., Song, H., Tonkin, E., Grant, S., Flach, P. (2020). Modelling Patient Behaviour Using IoT Sensor Data: a Case Study to Evaluate Techniques for Modelling Domestic Behaviour in Recovery from Total Hip Replacement Surgery. J Healthc Inform Res. 4, 238–260. DOI: https://doi-org.ez41.periodicos.capes.gov.br/10.1007/s41666-020-00072-6
Fallahzadeh, R., Rokni, S.A., Ghasemzadeh, H., Soto-Perez-De-Celis, E., Shahrokni, A. (2018). Digital Health for Geriatric Oncology. JCO Clin Cancer Inform. DOI: 10.1200/CCI.17.00133. PMID: 30652581.
Kato, S., Ando, M., Kondo, T., Yoshida, Y., Honda, H., Maruyama, S. (2018). Lifestyle intervention using Internet of Things (IoT) for the elderly: A study protocol for a randomized control trial (the BEST-LIFE study). Nagoya J Med Sci. DOI: 10.18999/nagjms.80.2.175.
Khan, M.F., Ghazal, T.M., Said, R.A., Fatima, A., Abbas, S., Khan, M.A., Issa, G.F., Ahmad, M., Khan, M.A. (2021). An IoMT-Enabled Smart Healthcare Model to Monitor Elderly People Using Machine Learning Technique. Comput Intell Neurosci. DOI: 10.1155/2021/2487759.
Kitchenham, B.A., Brereton, P., Li, Z., Budgen, D., Burn, A.(2011) Repeatability of systematic literature reviews. 15th Annual Conference on Evaluation Assessment in Software Engineering p. 46-55.
Kitchenham, B.A., Budgen, D., Brereton, P.(2011). Using mapping studies as the basis for further research: a participant-observer case study. Inf. Softw. Technol.638–651. DOI: 10.1016/j.infsof.2010.12.011
Kitchenham, B.A., Charters, S. (2007). Guidelines for performing systematic literature reviews in software engineering. Tech. Rep. EBSE-2007-01, Keele University.
Li, S., Tang, Y. A. (2020). Simple Framework of Smart Geriatric Nursing considering Health Big Data and User Profile. Comput Math Methods Med. DOI: 10.1155/2020/5013249.
Li, X., Ren, S., Gu, F. (2021). Medical Internet of Things to Realize Elderly Stroke Prevention and Nursing Management. J Healthc Eng. DOI: 10.1155/2021/9989602.
Ling, Y., Ter Meer, L., Yumak, Z., Veltkamp, R. (2017). Usability Test of Exercise Games Designed for Rehabilitation of Elderly Patients After Hip Replacement Surgery: Pilot Study. JMIR Serious Games. DOI: 10.2196/games.7969.
Lhotska, L., Doležal, J., Adolf, J., Potůček, J., Křížek, M., Chbani, B. (2018). Personalized Monitoring and Assistive Systems: Case Study of Efficient Home Solutions. Studies in health technology and informatics.DOI: 10.3233/978-1-61499-868-6-19
Mansouri, S. (2020). The Development of the Vital Signs Tele-monitoring System for the Elderly by Using ‘UML’Language and the Interoperability Standard ‘Continua’. The Open Bioinformatics Journal 13.1
Meinert, E., Van Velthoven, M., Brindley, D., Alturkistani, A., Foley, K., Rees, S., Wells, G., De Pennington, N. (2018). The Internet of Things in Health Care in Oxford: Protocol for Proof-of-Concept Projects. JMIR Res Protoc. DOI: 10.2196/12077
Morales-Botello, M.L., Gachet, D., De Buenaga, M., Aparicio, F., Busto, M.J., Ascanio, J.R.(2021).Chronic patient remote monitoring through the application of big data and internet of things. Health Informatics Journal. DOI:10.1177/14604582211030956.
Nathannon, P., Chaiyan, J.(2021). "Design of a Personal Mobility Device for Elderly Users". Journal of Healthcare Engineering. p. 22. DOI: https://doi.org/10.1155/2021/8817115.
Nguyen, H. et al. (2018). Falls management framework for supporting an independent lifestyle for older adults: a systematic review. Aging clinical and experimental research 1275-1286. DOI: doi: 10.1007/s40520-018-1026-6.
Nikolaidou, M., Kotronis, C., Routis, I. et al. (2021). Incorporating patient concerns into design requirements for IoMT-based systems: The fall detection case study. Health Informatics Journal. DOI:10.1177/1460458220982640
Palumbo, F., Crivello, A., Furfari, F., Girolami, M., Mastropietro, A., Manferdelli, G., Röcke, C., Guye, S., Salvá Casanovas, A., Caon, M., Carrino, F., Abou Khaled, O., Mugellini, E., Denna, E., Mauri, M., Ward, D., Subías-Beltrán, P., Orte, S., Candea, C., Candea, G., Rizzo, G. (2020). Hi This Is NESTORE, Your Personal Assistant: Design of an Integrated IoT System for a Personalized Coach for Healthy Aging. Front Digit Health. DOI: 10.3389/fdgth.2020.545949.
Pandey, P., Litorya, R. (2020) Ensuring Elderly Well-Being During COVID-19 by Using the Internet of Things. Disaster Med Public Health Prep. DOI: 10.1017/dmp.2020.390.
Petersen, K., Vakkalanka, S., Kuzniarz, L. (2015). Guidelines for conducting systematic mapping studies in software engineering: An update. Inf. Softw. Technol.,64:p. 1–18. DOI: https://doi.org/10.1016/j.infsof.2015.03.007.
Petersen, K., Feldt, R., Mujtaba, S., Mattsson, M. (2008). Systematic Mapping Studies in Software Engineering. 12nd International Conference on Evaluation and Assessment in Software Engineering (EASE 2008), p. 1-10.
Pérez-Rodríguez, R., Guevara-Guevara, T., Moreno-Sánchez, P. A., Villalba-Mora, E., Valdés-Aragonés, M., Oviedo-Briones, M., ... & Rodríguez-Mañas, L. (2020). Monitoring and Intervention Technologies to Manage Diabetic Older Persons: The CAPACITY Case—A Pilot Study. Frontiers in Endocrinology, 11, 300.
Qaffas, A.A., Rakibul, H., Najah, A. (2021). The internet of things and big data analytics for chronic disease monitoring in Saudi Arabia. Telemedicine and e-Health. 27.1 74-81.
Qadri, Y. A., Nauman, A., Zikria, Y. B., Vasilakos, A. V., Kim, S. W. (2020). The Future of Healthcare Internet of Things: A Survey of Emerging Technologies. In IEEE Communications Surveys & Tutorials, v. 22, n. 2, p. 1121-1167, Second quarter, DOI: 10.1109/COMST.2020.2973314.
Rawtaer, I., Mahendran, R., Kua, E. H., Tan, H. P., Tan, H. X., Lee, T., Ng, T. P. (2020) Early Detection of Mild Cognitive Impairment With In-Home Sensors to Monitor Behavior Patterns in Community-Dwelling Senior Citizens in Singapore: Cross-Sectional Feasibility Study. J Med Internet Res.. DOI: 10.2196/16854
Reddy, M.A., Pradhan, B.K., Qureshi, D., Pal, S.K., Pal, K. (2020). Internet-of-Things-Enabled Dual-Channel Iontophoretic Drug Delivery System for Elderly Patient Medication Management. J Med Device., DOI: 10.1115/1.4045933.
Dwivedi, R., Mehrotra, D., & Chandra, S. (2021). Potential of Internet of Medical Things (IoMT) applications in building a smart healthcare system: A systematic review. Journal of Oral Biology and Craniofacial Research.
Sadek, I., Antoine, D., Mounir, M. (2020). Internet of things for sleep tracking: wearables vs. nonwearables. Health and technology 333-340. DOI: https:// doi.org./10.1007/s12553-019-00318-3.
Sahu, K., Oetomo, A., Morita, P. (2020). Enabling Remote Patient Monitoring Through the Use of Smart Thermostat Data in Canada: Exploratory Study. JMIR Mhealth Uhealth .:e21016. DOI: 10.2196/21016.
SAHU, D. et al. The Internet of Things in Geriatric Healthcare. Journal of healthcare engineering. (2021). DOI: https://doi.org/10.1155/2021/6611366.
Santana-Mancilla, P.C., Anido-Rifón, L.E., Contreras-Castillo, J., Buenrostro-Mariscal, R. (2020). Heuristic Evaluation of an IoMT System for Remote Health Monitoring in Senior Care. Int J Environ Res Public Health. DOI: 10.3390/ijerph17051586.
Stavropoulos, T. G., Papastergiou, A., Mpaltadoros, L., Nikolopoulos, S., & Kompatsiaris, I. (2020). IoT wearable sensors and devices in elderly care: A literature review. Sensors, 20(10), 2826.
Trombini, M., Ferraro, F., Morando, M., Regesta, G., Dellepiane, S. (2021). A Solution for the Remote Care of Frail Elderly Individuals via Exergames. Sensors., DOI: https://doi.org/ 10.3390/s21082719.
Tun, S. Y. Y., Samaneh, M., Farhaan, M. (2021). Internet of things (IoT) applications for elderly care: a reflective review. Aging clinical and experimental research 33.4: 855-867. DOI: 10.1007/s40520-020-01545-9.
Wohlin, C., Runeson, P., Silveira Neto, P.A.M., Engström, E., Machado, I.C., Almeida, E.A.(2013). On the Reliability of Mapping Studies in Software Engineering, Journal of Systems and Software, v. 86, n. 10, p. 2594 - 2610. Disponível em: https://doi.org/10.1016/j.jss.2013.04.076
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Derechos de autor 2022 Silvia Regina Gralha; Tânia Fleig; Fernanda Viegas Dihl; Analúcia Schiaffino Morales; Silvio César Cazella
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