Authors : Sivaranjani T.; Sivaprrasath S. J.; Harshavardhan D.; Arul Prakash A; Arjun R.

Volume/Issue : Volume 10 - 2025, Issue 5 - May

Google Scholar : https://tinyurl.com/y7jc3tza

DOI : https://doi.org/10.38124/ijisrt/25may417

Note : A published paper may take 4-5 working days from the publication date to appear in PlumX Metrics, Semantic Scholar, and ResearchGate.

Abstract : In modern healthcare, continuous monitoring of vital signs is crucial for early detection of critical health conditions. This paper presents an IoT-driven health monitoring system that integrates the ESP32 microcontroller to collect and transmit real-time physiological data such as heart rate, blood pressure, and body temperature. The system also incorporates a defibrillator for emergency response to cardiac arrests and an innovative movement detection mechanism to monitor residual movements in paralyzed patients, addressing the risk of bedsores and immobility-related complications. The collected data is transmitted to a cloud-based platform, enabling real-time access for healthcare providers and automated alerts for abnormal conditions. Experimental results demonstrate 95% accuracy in vital signs monitoring and an average response time of 500 ms for emergency alerts. By combining IoT, edge computing, and cloud computing, this system enhances patient monitoring, improves emergency response efficiency, and ensures timely medical interventions, making it a comprehensive solution for modern healthcare challenges.

Keywords : Internet of Things (IoT), ESP32, Health Monitoring, Defibrillator, Paralyzed Patients, Cloud Computing.

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