Remote monitoring of vital signs: pulse, temperature, and oxygen saturation using cloud computing
DOI:
https://doi.org/10.17533/udea.redin.20240941Keywords:
Telemedicine, VDI methodology, statistical analysis, sample surveys, internet of thingsAbstract
Telemedicine has gained significant relevance by allowing patients to be attended to at any time
and place, reducing the cost and time of medical care. Therefore, this research aimed at the development of a remote monitoring system for vital signs using cloud computing. Through surveys and expert input, specific system requirements were identified. The chosen sensors, MAX30102 and MLX90614, accurately captured pulse, oxygen saturation, and body temperature. The Arduino Mega-Embedded board facilitated
data acquisition, while the Raspberry Pi Zero W enabled remote data transmission. The ThingSpeak platform was used for communication, and the system architecture was established through hardware and software
tests. The system’s functionality was verified through expert judgment and statistical tests, showing no significant differences compared to commercial equipment. The remote sampling time for vital sign data was approximately 117 seconds. Overall, this study successfully implemented a robust and efficient remote
monitoring system for patients undergoing home treatment.
Downloads
References
Y. Khan, A. E. Ostfeld, C. M. Lochner, A. Pierre, and A. C. Arias, “Monitoring of vital signs with flexible and wearable medical devices,” Advanced Materials, vol. 28, no. 22, p. 4373 – 4395, 2016.
D. Dias and J. P. S. Cunha, “Wearable health devices—vital sign monitoring, systems and technologies,” Sensors (Switzerland), vol. 18, no. 8, 2018.
Y. Eddahchouri, M. Koeneman, M. Plokker, E. Brouwer, T. H. van de Belt, H. van Goor, and S. J. Bredie, “Low compliance to a vital sign safety protocol on general hospital wards: A retrospective cohort study,” International Journal of Nursing Studies, vol. 115, p. 103849, 2021.
M. J. Deen, “Information and communications technologies for elderly ubiquitous healthcare in a smart home,” Personal and Ubiquitous Computing, vol. 19, no. 3, p. 573 – 599, 2015.
S. Majumder, T. Mondal, and M. J. Deen, “Wearable sensors for remote health monitoring,” Sensors (Switzerland), vol. 17, no. 1, 2017.
F. Jamil, S. Ahmad, N. Iqbal, and D.-H. Kim, “Towards a remote monitoring of patient vital signs based on iot-based blockchain integrity management platforms in smart hospitals,” Sensors (Switzerland), vol. 20, no. 8, 2020.
K. Mohammed, A. Zaidan, B. Zaidan, O. Albahri, M. Alsalem, A. Albahri, A. Hadi, and M. Hashim, “Real-time remote-health monitoring systems: a review on patients prioritisation for multiple-chronic diseases, taxonomy analysis, concerns and solution procedure,”
Journal of Medical Systems, vol. 43, no. 7, 2019.
Y. Yuan, B. Liu, H. Li, M. Li, Y. Song, R. Wang, T. Wang, and H. Zhang, “Flexible wearable sensors in medical monitoring,” Biosensors, vol. 12, no. 12, 2022.
P. S. Mendoza, K. . Hernández, C. V. Núñez, and D. J. Molinares, “Internet of things and home-centered health; [internet de las cosas y la salud centrada en el hogar],” Salud Uninorte, vol. 32, no. 2, p. 337 – 351, 2016.
L. P. Malasinghe, N. Ramzan, and K. Dahal, “Remote patient monitoring: a comprehensive study,” Journal of Ambient Intelligence and Humanized Computing, vol. 10, no. 1, p. 57 – 76, 2019.
S. Omboni, R. J. McManus, H. B. Bosworth, L. C. Chappell, B. B. Green, K. Kario, A. G. Logan, D. J. Magid, B. McKinstry, K. L. Margolis, G. Parati, and B. J. Wakefield, “Evidence and recommendations on the use of telemedicine for the management of arterial hypertension: An international expert position paper,” Hypertension, vol. 76, no. 5, p. 1368 – 1383, 2020.
J. C. Monsalve, “Programa innovador desarrollado por la fcv y la upb, muestra resultados significativos en niños con
cardiopatías congénitas,” January 2022. [Online]. Available: https://www.fcv.org/co/prensa/noticias/
ESSALUD, Cuidado integral del paciente con Hipertensión arterial en el Seguro Social de Salud - ESSALUD, Gerencia Central de Prestaciones de Salud, Lima-Perú, 2016. [Online]. Available: https://ww1.essalud.gob.pe/compendio/pdf/0000003396_pdf.pdf
Seguro Social de Salud (EsSalud) and Instituto de Evaluación de Tecnologías en Salud e Investigación (IETSI), “Pulsioxímetro para uso domiciliario en pacientes con covid-19 catalogados inicialmente como casos leves y con factores de riesgo,” Seguro Social de Salud de
Perú, Reporte breve 33, 2020. [Online]. Available: https://repositorio.essalud.gob.pe/handle/20.500.12959/1778
Centro Nacional en Sistemas de Información en Salud (CENS), Telemedicina durante la epidemia de COVID-19 en Chile: guía de buenas prácticas y recomendaciones; [Telemedicine during the COVID-19 epidemic in Chile: guide of good practices and recommendations], Ministerio de Salud de Chile, 2020. [Online]. Available: https://pesquisa.bvsalud.org/portal/resource/en/biblio-1140282
J. D. Esquicha, “Implementación de un prototipo de seguridad física, para monitorear gases, agua, temperatura y humedad en ambientes hospitalarios por medio de raspberry pi y beebotte,” Ph.D. dissertation, UCSM, Apr 2019. [Online]. Available: https://repositorio.ucsm.edu.pe/handle/20.500.12920/8823
R. Yauri, “Implementación de una red inalámbrica de sensores para el monitoreo remoto de variables fisiológicas en pacientes ambulatorios,” Ph.D. dissertation, Universidad Nacional del Callao, 2018. [Online]. Available:http://hdl.handle.net/20.500.12952/2816
F. Gónzales, “Diseño e implementación de un pulsioxímetro reflexivo y estudio de su funcionamiento en diferentes zonas
del cuerpo,” Ph.D. dissertation, Universidad de Sevilla, 2019. [Online]. Available: https://hdl.handle.net/11441/94193
G. Aceto, V. Persico, and A. Pescapé, “Industry 4.0 and health: Internet of things, big data, and cloud computing for healthcare 4.0,” Journal of Industrial Information Integration, vol. 18, 2020.
L. Greco, G. Percannella, P. Ritrovato, F. Tortorella, and M. Vento, “Trends in iot based solutions for health care:
Moving ai to the edge,” Pattern Recognition Letters, vol. 135, p. 346 – 353, 2020.
A. Albahri, J. K. Alwan, Z. K. Taha, S. F. Ismail, R. A. Hamid, A. Zaidan, O. Albahri, B. Zaidan, A. Alamoodi, and M. Alsalem, “Iot-based telemedicine for disease prevention and health promotion: State-of-the-art,” Journal of Network and Computer Applications, vol. 173, 2021.
D. S. M. John, Statistical Analysis Handbook A Comprehensive Handbook of Statistical Concepts, techniques and software tools. Drumlin Publications, 2018.
R. Peck, C. Olsen, and J. L. Devore, Introduction to statistics and data analysis, 3rd ed. Thomson Brooks/Cole, 2005.
R. L. Ott and M. Longnecker, An Introduction to Statistical Methods and Data Analysis, 5th ed. Duxbury, 2001.
E. C. Fein, J. Gilmour, T. Machin, and L. Hendry, Statistics for Research Students “An Open Access Resource with
Self-Tests and Illustrative Examples”. y University of Southern Queensland, 2021.
Downloads
Published
How to Cite
Issue
Section
License
Copyright (c) 2024 Revista Facultad de Ingeniería Universidad de Antioquia
This work is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License.
Revista Facultad de Ingeniería, Universidad de Antioquia is licensed under the Creative Commons Attribution BY-NC-SA 4.0 license. https://creativecommons.org/licenses/by-nc-sa/4.0/deed.en
You are free to:
Share — copy and redistribute the material in any medium or format
Adapt — remix, transform, and build upon the material
Under the following terms:
Attribution — You must give appropriate credit, provide a link to the license, and indicate if changes were made. You may do so in any reasonable manner, but not in any way that suggests the licensor endorses you or your use.
NonCommercial — You may not use the material for commercial purposes.
ShareAlike — If you remix, transform, or build upon the material, you must distribute your contributions under the same license as the original.
The material published in the journal can be distributed, copied and exhibited by third parties if the respective credits are given to the journal. No commercial benefit can be obtained and derivative works must be under the same license terms as the original work.
Twitter