MUMBAI, India, July 13 -- Intellectual Property India has published a patent application (202641077805 A) filed by Dr. N. Gopinath; Poi Tamrakar; Akanksha Goel; Mily Lal; Dr. Saurabh Saoji; Dr. Deepak Uplaonkar; Dr. Praveen Chouksey; and Manisha Darak on June 24, 2026, for Cloud-Connected Smart Wearable Device For Real-Time Health Surveillance And Anomaly Detection.
Inventors include Dr. N. Gopinath; Poi Tamrakar; Akanksha Goel; Mily Lal; Dr. Saurabh Saoji; Dr. Deepak Uplaonkar; Dr. Praveen Chouksey; and Manisha Darak.
The application for the patent was published on July 10, 2026, under issue no. 28/2026.
Abstract: The present invention discloses a Cloud-Connected Smart Wearable Device for Real-Time Health Surveillance and Anomaly Detection, designed to provide continuous monitoring of physiological parameters and early identification of potential health abnormalities. The proposed system integrates a wearable sensing module equipped with multiple biosensors for collecting vital health metrics, including heart rate, blood oxygen saturation (SpOi), body temperature, respiratory rate, blood pressure, physical activity, and sleep patterns. The collected data are transmitted through a secure wireless communication interface to a cloud-based healthcare platform for storage, processing, and analysis. The cloud platform employs advanced Machine Learning (ML) algorithms to analyze historical and real-time health data, identify patterns, and detect anomalies indicative of potential medical conditions. The anomaly detection engine utilizes predictive analytics and adaptive learning models to recognize deviations from an individual's normal physiological behavior, thereby enabling early warning of cardiovascular disorders, respiratory complications, stress-related conditions, and other health risks. The system further generates personalized health insights and recommendations based on user- specific health profiles. In addition, the proposed wearable device incorporates edge computing capabilities to perform preliminary data filtering and anomaly screening, reducing latency and bandwidth consumption. Automated alerts and notifications are transmitted to users, caregivers, and healthcare professionals upon detection of critical health events. The cloud-connected architecture supports remote patient monitoring, telemedicine integration, and long-term health trend analysis while ensuring data privacy and security through encrypted communication protocols. The invention provides a scalable, intelligent, and cost-effective healthcare monitoring solution healthcare, facilitates timely medical intervention, and improves overall continuous real-time health surveillance and intelligent anomaly detections. I that enhances preventive patient outcomes through CMof a cat
Disclaimer: Curated by HT Syndication.
