MUMBAI, India, Feb. 13 -- Intellectual Property India has published a patent application (202541124992 A) filed by Nandha Engineering College, Erode, Tamil Nadu, on Dec. 11, 2025, for 'heartrate monitoring system in telegram.'
Inventor(s) include Dr. K. Lalitha; R. Priyadharshini; S. Janani; and S. Aadithan.
The application for the patent was published on Feb. 13, under issue no. 07/2026.
According to the abstract released by the Intellectual Property India: "The present invention relates to an loT-enabled smart health monitoring system designed to continuously measure, analyze, and report vital health parameters in real time. The system integrates low-cost biomedical sensors with an ESP32 microcontroller to acquire physiological data such as heart rate, blood oxygen level, body temperature, and activity patterns. The collected data is processed using an onboard algorithm and transmitted wirelessly to a cloud platform for storage, visualization, and intelligent analysis. The invention includes an alert mechanism that automatically notifies users, caregivers, or medical professionals through a mobile application or messaging service when abnormal health conditions are detected. The system provides a portable, energy-efficient, and costeffective solution for remote patient monitoring, early detection of health abnormalities, and continuous health assessment, making it suitable for elderly patients, chronic disease management, and rural healthcare applications. In an additional aspect, the invention provides an intelligent pattern-based diagnosis engim: that observes hourly sensor trends to detect health states such as stress, fever, irregular heart rhythm, and sleep patterns. This enhances early medical intervention by enabling predictive analytics rather than simple threshold-based alerts. The system is portable, low-cost, and suitable for continuous remote monitoring of patients, elderly individuals, and high-risk users in rural or resource-limited environments. The present invention relates to an loT-enabled smart health monitoring system designed to continuously measure, analyze, and .report vit~l health p~rain~ters .in real time. The system integrates biomedical sensors with an ESP32 microcontroller to acquire physiological data such as heart rate, blood oxygen level, body temperature, and skin response. The collected data is processed using an onboard pattern-detection algorithm that identifies sudden changes, long-term deviations, and predefined health conditions. The processed data is then transmitted wirelessly to a cloud platform for visualization and automated alert generation."
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