IoT Saving Lives: A Solution for Elderly People

  • Rafael M. da Silva Federal Institute of Education, Science, and Technology of Pernambuco (IFPE)
  • João G. G. S. Brito Federal Institute of Education, Science, and Technology of Pernambuco (IFPE)
  • Marco A. de O. Domingues Federal Institute of Education, Science, and Technology of Pernambuco (IFPE)
  • Lilian O. Ramires Federal Rural University of Pernambuco (UFRPE) https://orcid.org/0009-0004-2385-8699
  • Anderson L. S. Moreira Federal Institute of Pernambuco (IFPE) https://orcid.org/0000-0003-1455-5528

Abstract


This article presents the development and deployment of a monitoring system specifically designed for the elderly. It focuses particularly on the detection and quick alerting of caregivers about falls, which pose a significant health risk to seniors. The urgency for this technology arises from the aging population in Brazil. The presented system is built on the Amazon Web Services (AWS) platform with the ESP32 board, providing a modular, scalable, and highly secure base for storing and processing data. By integrating Internet of Things (IoT) technology with customized wearable devices and a mobile application, the system identifies harmful events and automatically sends notifications to designated contacts. Additionally, its connection to real-time data visualization tools, specifically Amazon TimeStream and Grafana, offers detailed insights into the collected data, which are crucial for continuous monitoring and analysis after incidents. This system promotes the improvement and well-being of elderly people, enhancing their quality of life and offering peace to their families.

Keywords: IoT, Health, Elderly

References

Alshammari, H. H. (2023). “The internet of things healthcare monitoring system based on mqtt protocol”. Alexandria Engineering Journal, 69:275–287.

Biasi, S. C. de; Gattass, M. “Utilização de quatérnios para representação de rotações em 3D. 35 f. [link]. Julho.

Bouslama, A., Laaziz, Y., Tali, A., e Eddabbah, M. (2019). “Aws and iot for real-time remote medical monitoring. International Journal of Intelligent Enterprise”, 6(2-4):369–381.

Chrobotics (2016). “Using Accelerometers to Estimate Position and Velocity”. [link]. Julho.

Espressif (2024). “Esp32-wroom-da datasheet for EP32 devices”, [link]. Janeiro.

Marchi, A. C. B. (2019). “Tecnologias computacionais para o monitoramento e a reabilitação de pessoas com doenças crônicas não transmissíveis”. Revista Brasileira de Ciências do Envelhecimento Humano, 16(1):13–17.

Massola, S. C., e Pinto, G. S. (2018). O uso da internet das coisas (iot) a favor da saúde. Revista Interface Tecnológica, 15(2):124–137.

Organização Mundial da Saúde (2007). “Relatório global da OMS sobre prevenção de quedas na velhice”. [link]. Dezembro.

Santos, I. B., Sandmann, A., Souza, B. E., Schmidt, C. A. P., Filho, P. L. P., Melges, A. I., e Marcolin, J. F. (2019). “Internet das coisas (iot) aplicada ao agronegócio: Projeto e implementação de um gateway de iot sobre a plataforma arduino para simplificar a automatização da aquicultura”. Brazilian Journal Development, vol. 5:231-248.

Schmit, M. I., Duncan, B. B., Silva, G. A., Menezes, A. M., Monteiro, C. A., e Barreto, S. M. (2011). “Doenças crônicas não-transmissíveis no Brasil: carga e desafios atuais”., 12(3): 48-67.

Siqueira, G. N. (2022). “Iot aplicada ao monitoramento da saúde de pessoas idosas: Um sistema para identificação de quedas”. Instituto Federal do Espírito Santo. Trabalho de Conclusão de Curso. [link]. Dezembro.

Valsalan, P., Baomar, T. A. B., and Baabood, A. H. O. (2022). “Iot based health monitoring system”. Journal of critical reviews, 7(4):739–743.

Venkatramulu, S., Phridviraj, M. S. B., Srinivas, C., e Rao, V. C. S. (2021). “Implementation of grafana as open source visualization and query processing platform for data scientists and researchers, materials today: Proceedings”. vol. 10.

Lufthiani, E., Karota B., e Cholina T. S. 2022. “‘Health Belief Model’ in the Prevention of Chronic Disease in the Elderly”. Kemas 17(4).

Morato, J., Sonia S., Ana I., Adrián C., e Carmen F. 2021. “Sustainable technologies for older adults”. Sustainability (Switzerland) 13(15).

de Souza, A. C., Ledezma G., Caroline C. B., Dâmaso, B., Tomasi, F. F. D., Maria C. G., e Bielemann. R. M. 2021. “All-cause mortality over a three-year period among community-dwelling older adults in Southern Brazil”. Revista Brasileira de Epidemiologia 24.

Sum, G., Gerald C. H., Stewart W. Mercer, L. Y. W., Azeem M., Brian O., e John T. L. 2020. “Patients with more comorbidities have better detection of chronic conditions, but poorer management and control: Findings from six middle-income countries”. BMC Public Health 20(1).

Travassos, G. F., Alexandre B. C., e ArendsKuenning, M. P. 2020. “The elderly in Brazil: Demographic transition, profile, and socioeconomic condition”. Revista Brasileira de Estudos de População 37.
Published
2024-10-14
SILVA, Rafael M. da; BRITO, João G. G. S.; DOMINGUES, Marco A. de O.; RAMIRES, Lilian O.; MOREIRA, Anderson L. S.. IoT Saving Lives: A Solution for Elderly People. In: DATA SCIENCE FOR SOCIAL GOOD BRAZILIAN WORKSHOP (DS4SG) - BRAZILIAN SYMPOSIUM ON DATABASES (SBBD), 39. , 2024, Florianópolis/SC. Anais [...]. Porto Alegre: Sociedade Brasileira de Computação, 2024 . p. 378-387. DOI: https://doi.org/10.5753/sbbd_estendido.2024.243942.