MUMBAI, India, Feb. 13 -- Intellectual Property India has published a patent application (202641009324 A) filed by KKR & KSR Institute of Technology and Sciences, Vatticherukuru, Andhra Pradesh, on Jan. 29, for 'iot-based patient health monitoring framework with real-time vital tracking and emergency alert transmission.'
Inventor(s) include Dr. M Purnachandra Rao; Mr. K. Yogeswar; Mr. K. Yeshwanth; Mr. K. Chandu Sai Gopi; and Mr. K. Pavan Kumar.
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: "Continuous oversight of patient health proves vital in home or distant care environments, where delays can escalate risks. This research unveils a sleek IoT wearable device, leveraging surface-mount sensors for a lightweight, unobtrusive design. It tracks essential vitals heart rate, SpO2 levels, body temperature, and motion data in real time, employing an intelligent, activity-responsive engine that fine-tunes alert boundaries according to the user's ongoing movements, such as resting, walking, or exercising. [0018] This adaptive mechanism slashes false positives by up to 90%, fostering trust in the system's outputs. Captured data flows encrypted to a robust cloud infrastructure, supporting intuitive dashboards for remote visualization, trend analysis, and secure long-term archiving compliant with HIPAA standards. Should deviations exceed personalized thresholds, a graduated response chain kicks in: first, push notifications to designated caregivers via app or SMS; next, escalation to healthcare providers if unmet within minutes; and ultimately, automated calls to emergency services with GPS-tagged patient details. The hardware's low-power microcontroller handles edge computing to cut latency, while cloud analytics enable predictive insights, like early fatigue detection. Integrating these elements miniaturized tech, on-the-fly processing, and interconnected alerts yields a scalable, cost-effective platform that empowers proactive care, reduces hospital readmissions, and extends monitoring to underserved regions. Prototypes tested on diverse cohorts confirm 99% uptime and rapid anomaly spotting, positioning this as a game-changer for telehealth."
Disclaimer: Curated by HT Syndication.
