Integrated IoT System for Remote Health Monitoring in Home Hospitalization
Resumo
The COVID-19 pandemic underscored the critical need for scalable and scientifically validated remote health monitoring systems. This work presents the development of an IoT system designed to monitor physiological and environmental parameters in home-hospitalized patients. The architecture comprises two complementary prototypes: (1) a wearable device capturing cutaneous temperature, single-lead ECG, pulse oximetry (SpO₂), non-invasive blood pressure monitoring, and fall detection; and (2) an environmental sensor unit recording atmospheric pressure, ambient temperature, light intensity, relative humidity, and CO₂ levels. Data is transmitted via hybrid WiFi/LoRaWAN connectivity to a cloud-based server utilizing optimized MQTT/CoAP protocols, where data science, through machine learning algorithms, generates real-time clinical alerts. Preliminary results demonstrate successful validation of the system architecture, rigorous medical sensor selection (AD8232, MAX30102), and proof-of-concept deployment. The solution shows significant potential to reduce the burden on hospital resources and enhance emergency response effectiveness in home-based care scenarios.
Palavras-chave:
Telemedicine, Medical IoT (IoMT), Remote Patient Monitoring, Health Data Analytics, e-Health
Referências
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A. Gatouillat, Y. Badr, B. Massot, y E. Sejdic, «Internet of Medical Things: A Review of Recent Contributions Dealing With Cyber-Physical Systems in Medicine», IEEE Internet Things J., vol. 5, n.o 5, pp. 3810-3822, oct. 2018, DOI: 10.1109/JIOT.2018.2849014.
B. Mudassar, S. Tahir, F. Khan, S. A. Shah, S. I. Shah, y Q. H. Abbasi, «Privacy-Preserving Data Analytics in Internet of Medical Things», Future Internet, vol. 16, n.o 11, p. 407, nov. 2024, DOI: 10.3390/fi16110407.
U. Iqbal, M. A. Dar, y S. Nisar Bukhari, «Intelligent Hospitals based on IOT», en 2018 Fourth International Conference on Advances in Electrical, Electronics, Information, Communication and Bio-Informatics (AEEICB), feb. 2018, pp. 1-3. DOI: 10.1109/AEEICB.2018.8480947.
T. Gunasekar, J. Karthikeyan, G. Manivannan, M. S. K. Saran, y K. R. Gokul, «IoT Based Patient Safety Monitoring System in Hospitals», en 2022 2nd International Conference on Power Electronics IoT Applications in Renewable Energy and its Control (PARC), ene. 2022, pp. 1-4. DOI: 10.1109/PARC52418.2022.9726617.
S. Kang, H. Baek, E. Jung, H. Hwang, y S. Yoo, «Survey on the demand for adoption of Internet of Things (IoT)-based services in hospitals: Investigation of nurses’ perception in a tertiary university hospital», Applied Nursing Research, vol. 47, pp. 18-23, jun. 2019, DOI: 10.1016/j.apnr.2019.03.005.
J. Cabra, D. Castro, J. Colorado, D. Mendez, y L. Trujillo, «An IoT Approach for Wireless Sensor Networks Applied to e-Health Environmental Monitoring», en 2017 IEEE International Conference on Internet of Things (iThings) and IEEE Green Computing and Communications (GreenCom) and IEEE Cyber, Physical and Social Computing (CPSCom) and IEEE Smart Data (SmartData), jun. 2017, pp. 578-583. DOI: 10.1109/iThings-GreenCom-CPSCom-SmartData.2017.91.
N. Chaabouni, M. Mosbah, A. Zemmari, C. Sauvignac, y P. Faruki, «Network Intrusion Detection for IoT Security Based on Learning Techniques», IEEE Communications Surveys Tutorials, vol. 21, n.o 3, pp. 2671-2701, 2019, DOI: 10.1109/COMST.2019.2896380.
V. K. Rathi et al., «An edge AI-enabled IoT healthcare monitoring system for smart cities», Computers & Electrical Engineering, vol. 96, p. 107524, dic. 2021, DOI: 10.1016/j.compeleceng.2021.107524.
N. M. Buthelezi, V. Malele, P. A. Owolawi, y T. Mapayi, «IoT Based Health Monitor for Remote Patient», en 2022 International Conference on Artificial Intelligence, Big Data, Computing and Data Communication Systems (icABCD), ago. 2022, pp. 1-7. DOI: 10.1109/icABCD54961.2022.98563
Publicado
22/10/2025
Como Citar
GRAMAJO, Sergio; TORRES, Carlos; NUÑEZ, Salvador; SCAPPINI, Reinaldo; ROA, Jorge; MONTIEL, Raul.
Integrated IoT System for Remote Health Monitoring in Home Hospitalization. In: CONGRESSO LATINO-AMERICANO DE SOFTWARE LIVRE E TECNOLOGIAS ABERTAS (LATINOWARE), 22. , 2025, Foz do Iguaçu/PR.
Anais [...].
Porto Alegre: Sociedade Brasileira de Computação,
2025
.
p. 598-602.
DOI: https://doi.org/10.5753/latinoware.2025.16539.
