MUMBAI, India, April 17 -- Intellectual Property India has published a patent application (202641043287 A) filed by Meenakshi Academy Of Higher Education And Research, Chennai, Tamil Nadu, on April 4, for 'a system and method for icu patient monitoring and critical condition prediction.'
Inventor(s) include Jeyaseelan R; Shanma E; Premkumar U; Pugazhendhi S; Sridevi Sangeetha K S; Uma S; Thephilah Cathrine R; Mahesh Kumar Pg; Srilekha S; and Annadurai A.
The application for the patent was published on April 17, under issue no. 16/2026.
According to the abstract released by the Intellectual Property India: "The present disclosure relates to a system and method for monitoring ICU patients and conducting predictive analyses of critical conditions. The system combines advanced computational frameworks like multimodal bio-signal fusion, digital twin modeling, neuromorphic anomaly detection, and predictive analytics with the ability to collect real-time physiological and clinical data. A sensor interface and data acquisition module collect a wide range of patient data, which is then processed through edge and cloud-based architectures to create a complete patient profile. The system uses a dynamic digital twin engine to model the physiological conditions of individual patients and predict how their diseases will progress. A federated learning module allows healthcare systems to train models in a decentralized way while keeping data private. The system also has mechanisms for context-aware alert prioritization and adaptive treatment recommendations that make clinical decision-making better. A blockchain-based data integrity layer makes sure that patient information is stored safely and can't be changed. This disclosure makes it possible to find critical conditions early, cuts down on alarm fatigue, and improves patient outcomes in intensive care settings."
Disclaimer: Curated by HT Syndication.
