MUMBAI, India, Feb. 27 -- Intellectual Property India has published a patent application (202541129895 A) filed by M. Presitha Aarthi; M. Vaasugl Preety; P. Selva Lakshmi; S. Harishkumar; J. Jenisha; N. Elaveni; M. Rajam; K. Ravi Dass; K. Dharshini; and S. Harini, Salem, Tamil Nadu, on Dec. 22, 2025, for 'edge based ai framework for continuous monitoring and abnormality detection in chronic patients using adaptive sensor calibration.'
Inventor(s) include M. Presitha Aarthi; M. Vaasugl Preety; P. Selvalakshmi; S. Harishkumar; J. Jenisha; N. Elaveni; M. Rajam; K. Ravi Dass; K. Dharshini; and S. Harini.
The application for the patent was published on Feb. 27, under issue no. 09/2026.
According to the abstract released by the Intellectual Property India: "Chronic diseases such as cardiovascular disorders, diabetes, respiratory illnesses, and neurological conditions require continuous patient monitoring to prevent complications and medical emergencies. Conventional remote health monitoring systems rely heavily on cloudbased processing and fixed sensor calibration, resulting in latency, inaccurate readings due to sensor drift, high bandwidth usage, and delayed clinical intervention. The present invention proposes an Edge-Based Al Framework for Continuous Monitoring and Abnormality Detection in Chronic Patients Using Adaptive Sensor Calibration. The system deploys intelligent edge devices equipped with physiological sensors and adaptive calibration mechanisms to ensure accurate real-time data acquisition. Artificial intelligence models executed at the edge analyze physiological signals continuously and detect abnormalities instantly. By minimizing dependency on cloud infrastructure and dynamically calibrating sensors, the invention enables low-latency, energy-efficient, accurate, and reliable chronic patient monitoring."
Disclaimer: Curated by HT Syndication.
