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Research Paper | Electronics and Telecommunication Engineering | Volume 15 Issue 4, April 2026 | Pages: 1727 - 1731 | India
A Smart, Non-Invasive Framework for Continuous Health Monitoring with Integrated Threshold-Based Alerting
Abstract: The increased demand for accurate, real-time, and cost-effective health monitoring, particularly in the aged, chronically ill, and postoperative patients, necessitates the development of intelligent, non-invasive, and continuous monitoring systems. Traditional hospital-based monitoring methods often are expensive, cumbersome, and less accessible during emergencies. In this study, the design and implementation of a Smart Non-Invasive Continuous Health Monitoring System, which allows obtaining physiological data in real time, interpreting it, and visualizing the results on the cloud, have been described. Biomedical sensors are integrated in the system to measure crucial parameters such as SpO, heart rate, and body temperature, and use a microprocessor-based single-board computer (SBC), preprocessing of data, encryption, and wireless transmission. SQLite local data buffering provides reliability as it avoids the loss of data during network interruptions. There is further enhancement in signal processing schemes, like adaptive filtering and peak detection accuracy. An alert system based on a set of thresholds is effective in alerting medical experts about unusual values in real time through the use of a secure HTTPS-connected cloud dashboard. Scalability and integration with AI-based analytics and wearables are possible through the modular architecture. Experimental validation has shown high levels of reliability, low latency, and a high level of concordance with reference clinical mechanisms, which is a cost-efficient and scalable IoMT-based healthcare system to achieve continuous remote monitoring.
Keywords: Telemedicine, Real-Time Monitoring, Internet of Medical Things (IoMT), Embedded System, Signal Processing, Cloud Heathcare, Physiological Sensing
How to Cite?: Avinash Kshirsagar, S. R. Kumbhar, Sunil S. Barkade, Santosh A. Shinde, "A Smart, Non-Invasive Framework for Continuous Health Monitoring with Integrated Threshold-Based Alerting ", Volume 15 Issue 4, April 2026, International Journal of Science and Research (IJSR), Pages: 1727-1731, https://www.ijsr.net/getabstract.php?paperid=SR26425171022, DOI: https://dx.dx.doi.org/10.21275/SR26425171022