Smart Health Monitoring System for Realtime Measurement of Vital Signs
The Internet of Things (IoT) is experiencing rapid growth, particularly in the healthcare sector, where smart sensors and gadgets are integrated to collate data for advanced analysis tools like Artificial Intelligence algorithms. In healthcare, IoT-based systems could support clinicians in making more informed decisions. This paper presents a cost-effective IoT-based system for continuous monitoring of vital signs, focusing on early detection of patient deterioration. The system captures vital signs data like the body temperature and heart rate using a prototype comprising a cutting-edge hardware platform (ESP32) to process data from various wearables and sensors. A cloud-based web/mobile application displays the data through graphs and trends, enabling clinicians and caregivers to monitor patients remotely. Operating in real-time, the system aids in diagnosis and chronic disease management. An alarm and email notification are triggered if any vital sign measurement exceeds predefined thresholds, prompting timely intervention by clinicians and caregivers. Historical data tracking facilitates long-term assessment of patient health. Enabling remote monitoring, the system provides patients with the opportunity to stay at home and engage in work and daily activities, particularly beneficial for those with chronic diseases. Future adaptations may involve collaboration with hospital clinicians to enhance the quality of life and promote independent living for patients.
Authors
- Mirza Mansoor Baig (ORCID: https://orcid.org/0000-0002-7431-6193)
- Hamid GholamHosseini (ORCID: https://orcid.org/0000-0002-0135-2687)
- Shereen Afifi (ORCID: https://orcid.org/0000-0003-2383-4721)
Institutions
- Auckland University of Technology (NZ)
- Natus (New Zealand) (NZ)
- German University in Cairo (EG)
Publication Details
- Published
- 2025-08-07
- DOI
- https://doi.org/10.1109/acdsa65407.2025.11166087
- Citations
- 1
- Primary Topic
- Non-Invasive Vital Sign Monitoring
- Type
- article
- Field-Weighted Citation Impact
- 0.67