MUMBAI, India, Aug. 12 -- Intellectual Property India has published a patent application (202621057460 A) filed by Balasaheb Bhausaheb Jadhav; Vishwakarma Institute Of Technology, Pune, India; Atharva Pravin Mhaskar; Shubham Deepak Bharnuke; Brid Vivek Rane; Kashish Shailesh Chalikwar; and Yashraj Aashish Awasthi on May 06, 2026, for A System And Method For Multi-Signal Health Monitoring And Anomaly Detection Using Personalized Baseline Profiling And Adaptive Temporal Modeling..
Inventors include Balasaheb Bhausaheb Jadhav; Atharva Pravin Mhaskar; Shubham Deepak Bharnuke; Brid Vivek Rane; Kashish Shailesh Chalikwar; and Yashraj Aashish Awasthi.
The application for the patent was published on August 07, 2026, under issue no. 32/2026.
Abstract: The present invention relates to a system and method for analyzing physiological data obtained from wearable devices. The system processes time-series data including heart rate, heart rate variability, and motion-related signals through a sequence of preprocessing, personalized baseline modeling, adaptive temporal analysis, and multi- signal integration. A personalized baseline is generated using historical data to represent individual physiological patterns, and incoming data is evaluated relative to the baseline to determine deviations. The system dynamically adjusts analysis windows based on signal variability to improve responsiveness and efficiency. Multiple physiological and contextual signals are integrated to enhance anomaly detection and reduce false-positive outcomes. The system further generates health-related insights including anomaly detection signals, risk assessments, and readiness indicators, which are presented through a visualization interface. The invention enables accurate, context-aware, and personalized analysis of wearable sensor data using a device-independent approach.
Disclaimer: Curated by HT Syndication.
